i=1
for(i in 1:length(dependentlist)){
  dep=dependentlist[i]
  print(dependentlist_eng[i])
  load(paste("../data/modeldata/SVMorigmodeldatawithgeoandgeom_",dep,".RData",sep=""))  
  preds <- evaluateforwardCV_anyerror(mypath=paste("../data/FSCV/SVM_geoandgeom/SVMwithgeoandgeom_fw_5fold_10p_",dep,"_allpreds",sep=""),kk=1:5,endround = 10,error = "cverror",geheim = "geheimerprederror",yrange=c(0,1))
  predictors <- c(as.character(preds[1,1]),as.character(preds[2,1]))
  predict_radial_full(modeldata=origmodeldata, dependent=dep, predictors=predictors,kappasum = F,tausum = F)
    predictors = vector()
  for (n in 1:ncol(preds)){
    for (n2 in 1:nrow(preds)){
      predictors <- c(predictors,as.character(preds[n2,n]))
    }
  } 
    print("###################### WITH  PREDICTORS from the FW SELECTION ###################")
  uniquepredictors <- unique(predictors)
  predict_radial_full(modeldata=origmodeldata, dependent=dep, predictors=uniquepredictors)
  print("######################WITH ALL PREDICTORS###################")
  predict_radial_full(modeldata=origmodeldata, dependent=dep, predictors=unlist(paramsets[5]),printpreds = FALSE)
  rm(origmodeldata,paramsets,paramsetnames,dependent)
  
}
## [1] "1a.2.1 - Potential as a habitat for drought-tolerant species"
##  [1] "Prediction error at end is:  0.646753246753247"
##  [2] "Prediction error at end is:  0.637662337662338"
##  [3] "Prediction error at end is:  0.675324675324675"
##  [4] "Prediction error at end is:  0.657142857142857"
##  [5] "Prediction error at end is:  0.648051948051948"
##  [6] "Prediction error at end is:  0.657142857142857"
##  [7] "Prediction error at end is:  0.648051948051948"
##  [8] "Prediction error at end is:  0.620779220779221"
##  [9] "Prediction error at end is:  0.620779220779221"
## [10] "Prediction error at end is:  0.610822510822511"
## [1] "10fold cv-error:  0.574074074074074"
## [1] "For predictors TRI_hr_ws25 AND geom_10m_fl4_L37"
##      
## preds  1  2  3  4  5
##     1  0  0  0  0  0
##     2  0  0  0  0  0
##     3  0  0  0  0  0
##     4  4 12 20 33 16
##     5  0  1  1  5 16
## [1] "Kappa overall =  0.172252533125487"
## [1] "Tau overall =  0.31712962962963"
## [1] "mean quality =  0.155384615384615"
## [1] "The quality is  0.155384615384615"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.518518518518519"
## [1] "For predictors TRI_hr_ws25 AND geom_10m_fl4_L37 AND TRI_hr_ws42 AND Slope_Height_hr AND profc_ws13_hr_hr AND longc_ws5_hr_hr AND Channel_Network_Base_Level_50m AND geom_hr_L50m_fl1_rplipshannon_UE_hr_10cells_hr AND Convexity_10m AND slope_DTM_50m_avg_ws9_50m AND geom_hr_L50m_fl1_rpliprichness_UE_hr_20cells_hr AND Standardized_Height_50m AND Normalized_Height_50m AND elev_ws15_10m AND geom_hr_L3_fl1_rplipmps_UE_hr_10cells_hr AND geom_hr_L3_fl10_rplipdominance_UE_hr_5cells_hr AND geom_hr_L50m_fl10_rplipsimpson_UE_hr_40cells_hr AND ProfileCurvature_10m AND minic_ws15_hr_hr AND fischerk_ws61_hr AND geom_10m_fl4_L9 AND geom_hr_L50m_fl10_rplipsimpson_UE_hr_60cells_hr AND slope_DTM_50m_avg_ws7_50m AND Longitudinal_Curvature_hr AND dtm_hr_TEXTURE_r10 AND Texture_50m AND crosc_ws11_10m AND minic_ws5_hr_hr AND geom_dtm_10m_hyd_fl5_L70 AND geom_dtm_10m_hyd_fl5_L16 AND profc_ws5_hr_hr AND MRVBF_hr AND geom_hr_L50m_fl10_rpliprichness_UE_hr_20cells_hr AND elev_ws11_10m AND crosc_ws3_10m AND crosc_ws3_hr_hr AND TRI_hr_ws18 AND fischerk_ws3_hr AND dtm_hr_TEXTURE_r20 AND geom_hr_L3_fl10_rplipedgedensity_UE_hr_60cells_hr AND GeneralCurvature_10m AND Flow_Line_Curvature_hr AND geom_hr_L50m_fl10_rplippatchdensity_UE_hr_60cells_hr AND crosc_DTM_50m_avg_ws9_50m AND crosc_DTM_50m_avg_ws11_50m"
##      
## preds  1  2  3  4  5
##     1  1  0  0  0  0
##     2  0  5  0  0  0
##     3  1  0  8  0  0
##     4  2  7 12 37 12
##     5  0  1  1  1 20
## [1] "Kappa overall =  0.501123595505618"
## [1] "Tau overall =  0.571759259259259"
## [1] "mean quality =  0.41816141604874"
## [1] "The quality is  0.41816141604874"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  0.569230450224967"
## [1] "######################WITH ALL PREDICTORS###################"
## [1] "10fold cv-error:  0.564814814814815"
##      
## preds  1  2  3  4  5
##     1  0  0  0  0  0
##     2  0  1  0  0  0
##     3  0  0  0  0  0
##     4  4 11 20 36 17
##     5  0  1  1  2 15
## [1] "Kappa overall =  0.214443434212235"
## [1] "Tau overall =  0.351851851851852"
## [1] "mean quality =  0.178717948717949"
## [1] "The quality is  0.178717948717949"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1a.2.2 - Potential as a habitat for moisture-tolerant species"
##  [1] "Prediction error at end is:  0.61991341991342" 
##  [2] "Prediction error at end is:  0.628571428571429"
##  [3] "Prediction error at end is:  0.647619047619048"
##  [4] "Prediction error at end is:  0.685714285714286"
##  [5] "Prediction error at end is:  0.648484848484848"
##  [6] "Prediction error at end is:  0.667099567099567"
##  [7] "Prediction error at end is:  0.638095238095238"
##  [8] "Prediction error at end is:  0.627705627705628"
##  [9] "Prediction error at end is:  0.628138528138528"
## [10] "Prediction error at end is:  0.637662337662338"
## [1] "10fold cv-error:  0.481481481481481"
## [1] "For predictors geom_10m_fl8_L12 AND Longitudinal_Curvature_hr"
##      
## preds  2  3  4  5
##     2 23 10  8  1
##     3  0  0  0  0
##     4 10 12 26 10
##     5  0  1  1  6
## [1] "Kappa overall =  0.294378698224852"
## [1] "Tau overall =  0.345679012345679"
## [1] "mean quality =  0.28653921687111"
## [1] "The quality is  0.28653921687111"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.481481481481481"
## [1] "For predictors geom_10m_fl8_L12 AND Longitudinal_Curvature_hr AND geom_hr_L50m_fl1_rplipshannon_UE_hr_40cells_hr AND Catchment_Area_hr AND terraintexture_hr_ws33_tp25 AND terraintexture_hr_ws17_tp25 AND planc_DTM_50m_avg_ws3_50m AND geom_hr_L50m_fl1_rplipmps_UE_hr_20cells_hr AND geom_hr_L50m_fl1_rplipmps_UE_hr_40cells_hr AND slope_DTM_50m_avg_ws3_50m AND geom_10m_fl10_L27 AND vectorruggedness_hr_ws59 AND geom_hr_L3_fl1_rplipdominance_UE_hr_10cells_hr AND geom_hr_L50m_fl10_rplipdominance_UE_hr_60cells_hr AND geom_hr_L50m_fl1_rplipmps_UE_hr_60cells_hr AND geom_10m_fl10_L80 AND StandardizedHeight_10m AND minic_ws5_10m AND Convergence_Index_hr AND Vertical_Distance_to_Channel_Network_50m AND geom_hr_L50m_fl1_rplipdominance_UE_hr_40cells_hr AND sagaTopographic_Wetness_Index_50m AND geom_10m_fl8_L9 AND Convexity_50m AND profc_ws11_hr_hr AND longc_ws5_hr_hr AND profc_ws3_10m AND geom_hr_L3_fl10_rplippatchdensity_UE_hr_40cells_hr AND geom_10m_fl10_L70 AND Catchment_area_50m AND vectorruggedness_hr_ws35 AND VerticalDistancetoChannelNetwork_10m AND planc_DTM_50m_avg_ws11_50m AND MRRTF_hr AND geom_10m_fl3_L46 AND minic_ws3_hr_hr AND elev_ws11_10m AND minic_ws7_hr_hr AND Valley_Depth_hr AND geom_hr_L3_fl10_rplipmps_UE_hr_40cells_hr AND geom_hr_L50m_fl10_rplipmps_UE_hr_5cells_hr AND MassBalanceIndex_10m"
##      
## preds  2  3  4  5
##     2 30  9  6  1
##     3  0  8  0  1
##     4  3  5 28  7
##     5  0  1  1  8
## [1] "Kappa overall =  0.55566311713456"
## [1] "Tau overall =  0.580246913580247"
## [1] "mean quality =  0.481657715717866"
## [1] "The quality is  0.481657715717866"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  0.58082023643375"
## [1] "######################WITH ALL PREDICTORS###################"
## [1] "10fold cv-error:  0.592592592592593"
##      
## preds  2  3  4  5
##     2 23 13  9  2
##     3  0  0  0  0
##     4 10 10 26 15
##     5  0  0  0  0
## [1] "Kappa overall =  0.201303584858361"
## [1] "Tau overall =  0.271604938271605"
## [1] "mean quality =  0.193734335839599"
## [1] "The quality is  0.193734335839599"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1a.3 - Habitat for soil organisms"
##  [1] "Prediction error at end is:  0.511688311688312"
##  [2] "Prediction error at end is:  0.482251082251082"
##  [3] "Prediction error at end is:  0.453679653679654"
##  [4] "Prediction error at end is:  0.425974025974026"
##  [5] "Prediction error at end is:  0.389177489177489"
##  [6] "Prediction error at end is:  0.398268398268398"
##  [7] "Prediction error at end is:  0.380519480519481"
##  [8] "Prediction error at end is:  0.416450216450216"
##  [9] "Prediction error at end is:  0.361471861471861"
## [10] "Prediction error at end is:  0.389177489177489"
## [1] "10fold cv-error:  0.481481481481481"
## [1] "For predictors Channel_Network_Base_Level_hr AND Convexity_50m"
##      
## preds  1  2  3  4
##     1 12  3  1  3
##     2 11 31  6  1
##     3  0  0 12  4
##     4  1  0  7 16
## [1] "Kappa overall =  0.532631578947368"
## [1] "Tau overall =  0.54320987654321"
## [1] "mean quality =  0.470812655086849"
## [1] "The quality is  0.470812655086849"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  0.569455556051712"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.296296296296296"
## [1] "For predictors Channel_Network_Base_Level_hr AND Convexity_50m AND geom_hr_L3_fl10_rplipdominance_UE_hr_60cells_hr AND Slope_hr AND Texture_50m AND Maximal_Curvature_hr AND Valley_Depth_hr AND slope_DTM_50m_avg_ws5_50m AND Vertical_Distance_to_Channel_Network_50m AND geom_hr_L50m_fl10_rplipdominance_UE_hr_5cells_hr AND Normalized_Height_50m AND Slope_50m AND geom_hr_L3_fl1_rpliprichness_UE_hr_5cells_hr AND terraintexture_hr_ws57_tp25 AND Normalized_Height_hr AND StandardizedHeight_10m AND fischerk_ws23_hr AND geom_dtm_10m_hyd_fl5_L6 AND elev_ws11_10m AND NormalizedHeight_10m AND TangentialCurvature_10m AND Catchment_slope_50m AND vectorruggedness_hr_ws7 AND Topographic_Wetness_Index_50m AND minic_ws7_hr_hr AND SGU AND Channel_Network_Base_Level_50m AND vectorruggedness_hr_ws3 AND minic_ws29_hr_hr AND geom_hr_L3_fl1_rplippatchdensity_UE_hr_60cells_hr AND geom_hr_L3_fl10_rpliprichness_UE_hr_20cells_hr AND terraintexture_hr_ws45_tp25 AND maxic_ws7_10m AND geom_hr_L50m_fl1_rplipdominance_UE_hr_60cells_hr AND geom_hr_L50m_fl1_rplipmps_UE_hr_40cells_hr AND planc_DTM_50m_avg_ws9_50m AND slope_DTM_50m_avg_ws7_50m AND slope_DTM_50m_avg_ws3_50m"
##      
## preds  1  2  3  4
##     1 22  4  0  0
##     2  2 30  4  2
##     3  0  0 19  2
##     4  0  0  3 20
## [1] "Kappa overall =  0.787745664739884"
## [1] "Tau overall =  0.790123456790123"
## [1] "mean quality =  0.729828042328042"
## [1] "The quality is  0.729828042328042"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  0.800853249082389"
## [1] "######################WITH ALL PREDICTORS###################"
## [1] "10fold cv-error:  0.564814814814815"
##      
## preds  1  2  3  4
##     1  0  0  0  0
##     2 24 34  6 11
##     3  0  0 20  9
##     4  0  0  0  4
## [1] "Kappa overall =  0.346563407550823"
## [1] "Tau overall =  0.382716049382716"
## [1] "mean quality =  0.297857142857143"
## [1] "The quality is  0.297857142857143"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1a.4 - Habitat for crops"
##  [1] "Prediction error at end is:  0.177056277056277"
##  [2] "Prediction error at end is:  0.167099567099567"
##  [3] "Prediction error at end is:  0.176190476190476"
##  [4] "Prediction error at end is:  0.185281385281385"
##  [5] "Prediction error at end is:  0.176190476190476"
##  [6] "Prediction error at end is:  0.176190476190476"
##  [7] "Prediction error at end is:  0.167099567099567"
##  [8] "Prediction error at end is:  0.176190476190476"
##  [9] "Prediction error at end is:  0.176190476190476"
## [10] "Prediction error at end is:  0.176190476190476"
## [1] "10fold cv-error:  0.166666666666667"
## [1] "For predictors slope_ws3_hr_hr AND slope_ws15_10m"
##      
## preds  3  4  5
##     3  0  0  0
##     4  7 61  6
##     5  1  1 32
## [1] "Kappa overall =  0.719917012448133"
## [1] "Tau overall =  0.791666666666667"
## [1] "mean quality =  0.537777777777778"
## [1] "The quality is  0.537777777777778"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.138888888888889"
## [1] "For predictors slope_ws3_hr_hr AND slope_ws15_10m AND geom_hr_L3_fl10_rplipdominance_UE_hr_40cells_hr AND geom_hr_L3_fl10_rplipdominance_UE_hr_10cells_hr AND terraintexture_hr_ws53_tp5 AND terraintexture_hr_ws57_tp5 AND minic_ws11_10m AND Flow_Line_Curvature_hr AND SlopeHeight_10m AND Convexity_50m AND geom_10m_fl10_L6 AND TRI_hr_ws2 AND Slope_50m AND geom_hr_L3_fl10_rpliprichness_UE_hr_60cells_hr AND geom_hr_L3_fl1_rplipedgedensity_UE_hr_60cells_hr AND geom_hr_L3_fl1_rplipshannon_UE_hr_60cells_hr AND geom_hr_L50m_fl10_rplipshannon_UE_hr_60cells_hr AND geom_hr_L50m_fl10_rplipsimpson_UE_hr_60cells_hr AND slope_DTM_50m_avg_ws7_50m AND TRI_hr_ws57 AND Slope_hr AND slope_ws5_hr_hr AND geom_10m_fl1_L11 AND Convexity_10m AND geom_10m_fl10_L110 AND minic_DTM_50m_avg_ws3_50m AND profc_DTM_50m_avg_ws3_50m AND geom_10m_fl8_L3 AND geom_hr_L3_fl10_rplippatchdensity_UE_hr_40cells_hr AND TRI_hr_ws14 AND TRI_hr_ws9 AND LS_Factor_50m AND geom_hr_L50m_fl10_rplipdominance_UE_hr_20cells_hr AND geom_10m_fl1_L4 AND TRI_hr_ws10 AND terraintexture_hr_ws37_tp25 AND terraintexture_hr_ws17_tp25 AND fischerk_ws7_hr AND TRI_hr_ws38 AND vectorstrength_hr_ws7_hr AND planc_DTM_50m_avg_ws3_50m AND geom_hr_L50m_fl1_rplipmps_UE_hr_40cells_hr AND geom_hr_L50m_fl1_rplippatchdensity_UE_hr_20cells_hr"
##      
## preds  3  4  5
##     3  0  0  0
##     4  8 62  4
##     5  0  0 34
## [1] "Kappa overall =  0.775933609958506"
## [1] "Tau overall =  0.833333333333333"
## [1] "mean quality =  0.577524893314367"
## [1] "The quality is  0.577524893314367"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "######################WITH ALL PREDICTORS###################"
## [1] "10fold cv-error:  0.185185185185185"
##      
## preds  3  4  5
##     3  0  0  0
##     4  8 62  5
##     5  0  0 33
## [1] "Kappa overall =  0.75625"
## [1] "Tau overall =  0.819444444444444"
## [1] "mean quality =  0.565029239766082"
## [1] "The quality is  0.565029239766082"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1c.1 - Average precipitation retention capacity"
##  [1] "Prediction error at end is:  0.565367965367965"
##  [2] "Prediction error at end is:  0.593073593073593"
##  [3] "Prediction error at end is:  0.593073593073593"
##  [4] "Prediction error at end is:  0.62034632034632" 
##  [5] "Prediction error at end is:  0.620779220779221"
##  [6] "Prediction error at end is:  0.648051948051948"
##  [7] "Prediction error at end is:  0.648051948051948"
##  [8] "Prediction error at end is:  0.648051948051948"
##  [9] "Prediction error at end is:  0.657142857142857"
## [10] "Prediction error at end is:  0.638528138528139"
## [1] "10fold cv-error:  0.537037037037037"
## [1] "For predictors slope_ws15_10m AND GeneralCurvature_10m"
##      
## preds  1  2  3  4  5
##     1 10  0  3  1  2
##     2 16 44  9 13  4
##     3  0  0  0  0  0
##     4  0  1  0  4  0
##     5  0  0  0  0  1
## [1] "Kappa overall =  0.273176761433869"
## [1] "Tau overall =  0.43287037037037"
## [1] "mean quality =  0.23432611701668"
## [1] "The quality is  0.23432611701668"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.518518518518519"
## [1] "For predictors slope_ws15_10m AND GeneralCurvature_10m AND TRI_hr_ws49 AND minic_ws15_10m AND ProfileCurvature_10m AND geom_hr_L50m_fl1_rplipdominance_UE_hr_10cells_hr AND terraintexture_hr_ws37_tp25 AND profc_DTM_50m_avg_ws5_50m AND fischerk_ws19_hr AND geom_hr_L50m_fl1_rplippatchdensity_UE_hr_20cells_hr AND crosc_ws5_10m AND Channel_Network_Base_Level_50m AND ValleyDepth_hr AND planc_ws13_hr_hr AND geom_hr_L50m_fl10_rplipsimpson_UE_hr_10cells_hr AND crosc_ws11_10m AND elev_ws11_10m AND crosc_ws3_10m AND Plan_Curvature_hr AND CrossSectionalCurvature_hr AND Flow_Line_Curvature_50m AND geom_hr_L50m_fl10_rplippatchdensity_UE_hr_10cells_hr AND vectorruggedness_hr_ws57 AND geom_hr_L3_fl1_rpliprichness_UE_hr_60cells_hr AND profc_DTM_50m_avg_ws9_50m AND planc_ws7_hr_hr AND longc_ws3_10m AND Slope_50m AND slope_DTM_50m_avg_ws7_50m AND geom_hr_L50m_fl1_rplipmps_UE_hr_40cells_hr AND LSFactor_10m AND RelativeSlopePosition_10m AND geom_10m_fl3_L50 AND LS_Factor_hr AND geom_hr_L3_fl1_rplipshannon_UE_hr_40cells_hr AND geom_hr_L50m_fl1_rpliprichness_UE_hr_20cells_hr AND maxic_ws15_hr_hr AND Slope_Height_50m AND geom_hr_L3_fl1_rplipdominance_UE_hr_60cells_hr AND geom_hr_L3_fl10_rplipdominance_UE_hr_5cells_hr AND minic_ws3_hr_hr AND TRI_hr_ws42 AND TRI_hr_ws43"
##      
## preds  1  2  3  4  5
##     1 18  0  3  0  3
##     2  8 45  9 12  3
##     3  0  0  0  0  0
##     4  0  0  0  6  0
##     5  0  0  0  0  1
## [1] "Kappa overall =  0.449865951742627"
## [1] "Tau overall =  0.560185185185185"
## [1] "mean quality =  0.324621212121212"
## [1] "The quality is  0.324621212121212"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "######################WITH ALL PREDICTORS###################"
## [1] "10fold cv-error:  0.592592592592593"
##      
## preds  1  2  3  4  5
##     1  3  0  0  1  1
##     2 23 45 12 17  6
##     3  0  0  0  0  0
##     4  0  0  0  0  0
##     5  0  0  0  0  0
## [1] "Kappa overall =  0.0607334396289316"
## [1] "Tau overall =  0.305555555555555"
## [1] "mean quality =  0.10880721220527"
## [1] "The quality is  0.10880721220527"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1c.1 - Minimum precipitation retention capacity"
##  [1] "Prediction error at end is:  0.805194805194805"
##  [2] "Prediction error at end is:  0.769264069264069"
##  [3] "Prediction error at end is:  0.776190476190476"
##  [4] "Prediction error at end is:  0.767965367965368"
##  [5] "Prediction error at end is:  0.777922077922078"
##  [6] "Prediction error at end is:  0.758874458874459"
##  [7] "Prediction error at end is:  0.758874458874459"
##  [8] "Prediction error at end is:  0.768398268398268"
##  [9] "Prediction error at end is:  0.741125541125541"
## [10] "Prediction error at end is:  0.693939393939394"
## [1] "10fold cv-error:  0.62037037037037"
## [1] "For predictors geom_hr_L50m_fl10_rplipdominance_UE_hr_40cells_hr AND vectorruggedness_hr_ws23"
##      
## preds  1  2  3  4  5
##     1  0  0  0  0  0
##     2  6 19 11  9  6
##     3  1  2  4  1  0
##     4  2  4  4 13  4
##     5  3  1  3  3 12
## [1] "Kappa overall =  0.27807486631016"
## [1] "Tau overall =  0.305555555555555"
## [1] "mean quality =  0.236286472148541"
## [1] "The quality is  0.236286472148541"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.648148148148148"
## [1] "For predictors geom_hr_L50m_fl10_rplipdominance_UE_hr_40cells_hr AND vectorruggedness_hr_ws23 AND geom_hr_L50m_fl10_rpliprichness_UE_hr_40cells_hr AND geom_hr_L50m_fl1_rplipmps_UE_hr_40cells_hr AND CrossSectionalCurvature_hr AND geom_hr_L50m_fl10_rplipedgedensity_UE_hr_60cells_hr AND geom_hr_L3_fl10_rplipdominance_UE_hr_60cells_hr AND geom_hr_L3_fl10_rplipdominance_UE_hr_5cells_hr AND Total_Curvature_50m AND profc_ws11_10m AND geom_hr_L3_fl10_rpliprichness_UE_hr_60cells_hr AND minic_ws11_10m AND planc_ws5_10m AND vectorruggedness_hr_ws33 AND minic_DTM_50m_avg_ws7_50m AND slope_ws5_hr_hr AND planc_ws29_hr_hr AND maxic_ws23_hr_hr AND planc_ws23_hr_hr AND crosc_ws11_10m AND geom_hr_L50m_fl1_rpliprichness_UE_hr_60cells_hr AND crosc_DTM_50m_avg_ws3_50m AND geom_hr_L50m_fl1_rplipmps_UE_hr_20cells_hr AND geom_hr_L50m_fl1_rplipsimpson_UE_hr_40cells_hr AND maxic_ws11_10m AND geom_hr_L50m_fl1_rplipsimpson_UE_hr_60cells_hr AND Tangential_Curvature_50m AND geom_hr_L3_fl1_rplipmps_UE_hr_10cells_hr AND minic_ws15_10m AND geom_hr_L50m_fl1_rplippatchdensity_UE_hr_60cells_hr AND geom_hr_L50m_fl10_rplipsimpson_UE_hr_20cells_hr AND geom_hr_L50m_fl1_rplipshannon_UE_hr_40cells_hr AND Vertical_Distance_to_Channel_Network_50m AND profc_ws15_10m AND planc_ws11_10m AND geom_hr_L50m_fl1_rplipedgedensity_UE_hr_40cells_hr AND Relative_Slope_Position_hr AND geom_hr_L50m_fl1_rplipmps_UE_hr_10cells_hr AND Catchment_area_50m AND geom_hr_L3_fl10_rplippatchdensity_UE_hr_20cells_hr AND geom_hr_L50m_fl1_rpliprichness_UE_hr_40cells_hr AND vectorruggedness_hr_ws25 AND geom_hr_L50m_fl1_rplipdominance_UE_hr_40cells_hr AND minic_ws23_hr_hr AND longc_ws11_10m AND geom_hr_L3_fl10_rplipmps_UE_hr_10cells_hr"
##      
## preds  1  2  3  4  5
##     1  5  0  0  0  0
##     2  1 21  2  3  2
##     3  1  1 16  1  0
##     4  4  4  2 21  3
##     5  1  0  2  1 17
## [1] "Kappa overall =  0.667180277349769"
## [1] "Tau overall =  0.675925925925926"
## [1] "mean quality =  0.573324283559578"
## [1] "The quality is  0.573324283559578"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  0.68251991023537"
## [1] "######################WITH ALL PREDICTORS###################"
## [1] "10fold cv-error:  0.759259259259259"
##      
## preds  1  2  3  4  5
##     1  0  0  0  0  0
##     2  6 26 18 17  7
##     3  0  0  0  0  0
##     4  6  0  3  9 13
##     5  0  0  1  0  2
## [1] "Kappa overall =  0.13531799729364"
## [1] "Tau overall =  0.178240740740741"
## [1] "mean quality =  0.125161574618096"
## [1] "The quality is  0.125161574618096"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1c.2 - Retention capacity for heavy precipitation events"
##  [1] "Prediction error at end is:  0.305627705627706"
##  [2] "Prediction error at end is:  0.306493506493506"
##  [3] "Prediction error at end is:  0.324242424242424"
##  [4] "Prediction error at end is:  0.324242424242424"
##  [5] "Prediction error at end is:  0.315151515151515"
##  [6] "Prediction error at end is:  0.314718614718615"
##  [7] "Prediction error at end is:  0.305627705627706"
##  [8] "Prediction error at end is:  0.305627705627706"
##  [9] "Prediction error at end is:  0.305627705627706"
## [10] "Prediction error at end is:  0.305627705627706"
## [1] "10fold cv-error:  0.268518518518518"
## [1] "For predictors crosc_ws7_10m AND maxic_ws11_10m"
##      
## preds  1  2  3  4  5
##     1 75 10  6  3  8
##     2  0  1  0  0  0
##     3  0  0  0  0  0
##     4  0  0  0  5  0
##     5  0  0  0  0  0
## [1] "Kappa overall =  0.264193792581378"
## [1] "Tau overall =  0.6875"
## [1] "mean quality =  0.29024064171123"
## [1] "The quality is  0.29024064171123"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.259259259259259"
## [1] "For predictors crosc_ws7_10m AND maxic_ws11_10m AND Tangential_Curvature_50m AND profc_ws19_hr_hr AND minic_DTM_50m_avg_ws7_50m AND Plan_Curvature_hr AND dtm_hr_CONVEX_r10 AND CatchmentArea_10m AND Catchment_Area2_50m AND Modified_Catchment_Area_50m AND maxic_ws15_10m AND Profile_Curvature_50m AND minic_ws5_10m AND Total_Curvature_50m AND longc_ws15_hr_hr AND geom_hr_L3_fl1_rplipedgedensity_UE_hr_5cells_hr AND geom_hr_L50m_fl1_rplipdominance_UE_hr_40cells_hr AND Vertical_Distance_to_Channel_Network_50m AND terraintexture_hr_ws45_tp5 AND Minimal_Curvature_hr AND profc_ws11_10m AND Minimal_Curvature_50m AND longc_ws3_hr_hr AND profc_ws3_hr_hr AND crosc_ws11_10m AND Profile_Curvature_hr AND Convergence_Index_50m AND geom_10m_fl2_L8 AND Convexity_50m AND minic_ws11_hr_hr AND geom_hr_L50m_fl1_rplipmps_UE_hr_5cells_hr AND minic_ws13_hr_hr AND geom_hr_L50m_fl10_rplipsimpson_UE_hr_10cells_hr AND planc_DTM_50m_avg_ws3_50m AND longc_ws11_10m AND geom_hr_L3_fl10_rpliprichness_UE_hr_5cells_hr AND profc_ws5_10m AND geom_hr_L3_fl10_rplipshannon_UE_hr_20cells_hr AND geom_hr_L50m_fl10_rplipmps_UE_hr_5cells_hr AND geom_hr_L50m_fl10_rplipshannon_UE_hr_5cells_hr"
##      
## preds  1  2  3  4  5
##     1 75 11  6  1  6
##     2  0  0  0  0  0
##     3  0  0  0  0  0
##     4  0  0  0  7  0
##     5  0  0  0  0  2
## [1] "Kappa overall =  0.377969762419006"
## [1] "Tau overall =  0.722222222222222"
## [1] "mean quality =  0.376515151515152"
## [1] "The quality is  0.376515151515152"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "######################WITH ALL PREDICTORS###################"
## [1] "10fold cv-error:  0.305555555555556"
##      
## preds  1  2  3  4  5
##     1 75 11  6  8  8
##     2  0  0  0  0  0
##     3  0  0  0  0  0
##     4  0  0  0  0  0
##     5  0  0  0  0  0
## [1] "Kappa overall =  0"
## [1] "Tau overall =  0.618055555555555"
## [1] "mean quality =  0.138888888888889"
## [1] "The quality is  0.138888888888889"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1c.3 - groundwater reformation rate"
##  [1] "Prediction error at end is:  0.637662337662338"
##  [2] "Prediction error at end is:  0.647186147186147"
##  [3] "Prediction error at end is:  0.665367965367965"
##  [4] "Prediction error at end is:  0.646320346320346"
##  [5] "Prediction error at end is:  0.60995670995671" 
##  [6] "Prediction error at end is:  0.609523809523809"
##  [7] "Prediction error at end is:  0.637229437229437"
##  [8] "Prediction error at end is:  0.638095238095238"
##  [9] "Prediction error at end is:  0.647186147186147"
## [10] "Prediction error at end is:  0.656709956709957"
## [1] "10fold cv-error:  0.583333333333333"
## [1] "For predictors crosc_ws13_hr_hr AND crosc_ws3_10m"
##      
## preds  1  2  3  4  5
##     1  0  0  0  0  0
##     2 12 38 13 10 11
##     3  0  0  1  0  0
##     4  0  0  0  3  1
##     5  2  1  0  6 10
## [1] "Kappa overall =  0.23248730964467"
## [1] "Tau overall =  0.351851851851852"
## [1] "mean quality =  0.198213608023855"
## [1] "The quality is  0.198213608023855"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.574074074074074"
## [1] "For predictors crosc_ws13_hr_hr AND crosc_ws3_10m AND terraintexture_hr_ws25_tp25 AND dtm_hr_TEXTURE_r5 AND geom_hr_L50m_fl1_rplipdominance_UE_hr_10cells_hr AND Vertical_Distance_to_Channel_Network_50m AND geom_hr_L3_fl1_rplippatchdensity_UE_hr_20cells_hr AND geom_hr_L50m_fl1_rplipmps_UE_hr_40cells_hr AND geom_hr_L3_fl10_rplippatchdensity_UE_hr_20cells_hr AND geom_10m_fl8_L6 AND LongitudinalCurvature_10m AND geom_hr_L3_fl10_rplipmps_UE_hr_40cells_hr AND minic_ws3_hr_hr AND geom_hr_L50m_fl10_rplipdominance_UE_hr_60cells_hr AND minic_ws19_hr_hr AND geom_hr_L50m_fl1_rplipmps_UE_hr_20cells_hr AND geom_hr_L3_fl10_rplipmps_UE_hr_10cells_hr AND Maximal_Curvature_50m AND crosc_ws5_10m AND geom_hr_L50m_fl10_rplippatchdensity_UE_hr_40cells_hr AND geom_hr_L50m_fl1_rplipmps_UE_hr_60cells_hr AND crosc_ws7_10m AND Channel_Network_Base_Level_hr AND planc_DTM_50m_avg_ws9_50m AND planc_ws3_hr_hr AND Flow_Line_Curvature_hr AND terraintexture_hr_ws41_tp5 AND CrossSectionalCurvature_50m AND minic_ws15_10m AND Longitudinal_Curvature_hr AND elev_ws15_10m AND terraintexture_hr_ws37_tp25 AND geom_hr_L3_fl1_rplipmps_UE_hr_10cells_hr AND Total_Curvature_50m AND crosc_DTM_50m_avg_ws5_50m AND geom_hr_L3_fl1_rplipmps_UE_hr_20cells_hr AND LS_Factor_hr AND vectorruggedness_hr_ws53 AND geom_hr_L3_fl1_rplipdominance_UE_hr_10cells_hr AND geom_hr_L3_fl10_rplipsimpson_UE_hr_40cells_hr AND ValleyDepth_10m AND Catchment_Area_hr AND geom_hr_L3_fl10_rplipdominance_UE_hr_5cells_hr AND geom_hr_L50m_fl10_rplipmps_UE_hr_20cells_hr AND profc_ws7_hr_hr"
##      
## preds  1  2  3  4  5
##     1  6  0  0  0  0
##     2  8 39  7  4  7
##     3  0  0  4  0  0
##     4  0  0  2 15  0
##     5  0  0  1  0 15
## [1] "Kappa overall =  0.623286023574693"
## [1] "Tau overall =  0.664351851851852"
## [1] "mean quality =  0.536149068322981"
## [1] "The quality is  0.536149068322981"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  0.678740141625793"
## [1] "######################WITH ALL PREDICTORS###################"
## [1] "10fold cv-error:  0.638888888888889"
##      
## preds  1  2  3  4  5
##     1  0  0  0  0  0
##     2 12 38 14 16 14
##     3  0  0  0  0  0
##     4  0  0  0  2  0
##     5  2  1  0  1  8
## [1] "Kappa overall =  0.158004158004158"
## [1] "Tau overall =  0.305555555555555"
## [1] "mean quality =  0.162591093117409"
## [1] "The quality is  0.162591093117409"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1c.4 - Potential for providing nutrients for plants"
##  [1] "Prediction error at end is:  0.333766233766234"
##  [2] "Prediction error at end is:  0.269264069264069"
##  [3] "Prediction error at end is:  0.268398268398268"
##  [4] "Prediction error at end is:  0.25021645021645" 
##  [5] "Prediction error at end is:  0.277922077922078"
##  [6] "Prediction error at end is:  0.286147186147186"
##  [7] "Prediction error at end is:  0.231168831168831"
##  [8] "Prediction error at end is:  0.213419913419913"
##  [9] "Prediction error at end is:  0.203896103896104"
## [10] "Prediction error at end is:  0.213419913419913"
## [1] "10fold cv-error:  0.287037037037037"
## [1] "For predictors minic_ws9_hr_hr AND Vertical_Distance_to_Channel_Network_50m"
##      
## preds  1  3  5
##     1 58  5  8
##     3  0  0  0
##     5  7  6 24
## [1] "Kappa overall =  0.521227621483376"
## [1] "Tau overall =  0.638888888888889"
## [1] "mean quality =  0.425641025641026"
## [1] "The quality is  0.425641025641026"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.185185185185185"
## [1] "For predictors minic_ws9_hr_hr AND Vertical_Distance_to_Channel_Network_50m AND ValleyDepth_10m AND geom_10m_fl10_L13 AND geom_hr_L3_fl10_rpliprichness_UE_hr_5cells_hr AND geom_hr_L3_fl10_rplipsimpson_UE_hr_40cells_hr AND geom_hr_L3_fl1_rplipmps_UE_hr_5cells_hr AND SGUcode_vectorruggedness_hr_ws57_TRI_hr_ws31 AND geom_hr_L50m_fl10_rplipdominance_UE_hr_5cells_hr AND planc_DTM_50m_avg_ws7_50m AND minic_ws5_hr_hr AND crosc_DTM_50m_avg_ws5_50m AND maxic_ws3_hr_hr AND geom_hr_L3_fl10_rpliprichness_UE_hr_40cells_hr AND planc_ws5_hr_hr AND geom_hr_L3_fl10_rplipshannon_UE_hr_40cells_hr AND geom_hr_L50m_fl1_rplippatchdensity_UE_hr_20cells_hr AND Normalized_Height_50m AND geom_hr_L3_fl1_rplipdominance_UE_hr_60cells_hr AND SGU AND geom_hr_L3_fl10_rplippatchdensity_UE_hr_40cells_hr AND ValleyDepth_hr AND crosc_ws29_hr_hr AND Total_Curvature_hr AND geom_hr_L50m_fl1_rplipmps_UE_hr_20cells_hr AND Mid_Slope_Positon_50m AND Topographic_Wetness_Index_50m AND geom_hr_L50m_fl10_rpliprichness_UE_hr_60cells_hr AND terraintexture_hr_ws25_tp25 AND geom_hr_L3_fl1_rplippatchdensity_UE_hr_5cells_hr AND TRI_hr_ws1 AND Modified_Catchment_Area_50m AND geom_hr_L50m_fl1_rplipshannon_UE_hr_60cells_hr AND fischerk_ws23_hr AND dtm_hr_TEXTURE_r5 AND Profile_Curvature_hr AND geom_hr_L50m_fl1_rplipmps_UE_hr_10cells_hr AND geom_hr_L50m_fl1_rplipdominance_UE_hr_5cells_hr AND crosc_ws3_hr_hr"
##      
## preds  1  3  5
##     1 64  7  1
##     3  0  0  0
##     5  1  4 31
## [1] "Kappa overall =  0.759259259259259"
## [1] "Tau overall =  0.819444444444444"
## [1] "mean quality =  0.571516722201654"
## [1] "The quality is  0.571516722201654"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "######################WITH ALL PREDICTORS###################"
## [1] "10fold cv-error:  0.416666666666667"
##      
## preds  1  3  5
##     1 65 11 23
##     3  0  0  0
##     5  0  0  9
## [1] "Kappa overall =  0.256830601092896"
## [1] "Tau overall =  0.527777777777778"
## [1] "mean quality =  0.312605218855219"
## [1] "The quality is  0.312605218855219"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1c.5 - Potential as a CO2 sink"
##  [1] "Prediction error at end is:  0.325108225108225"
##  [2] "Prediction error at end is:  0.335064935064935"
##  [3] "Prediction error at end is:  0.287878787878788"
##  [4] "Prediction error at end is:  0.278787878787879"
##  [5] "Prediction error at end is:  0.296969696969697"
##  [6] "Prediction error at end is:  0.278354978354978"
##  [7] "Prediction error at end is:  0.269264069264069"
##  [8] "Prediction error at end is:  0.306060606060606"
##  [9] "Prediction error at end is:  0.325108225108225"
## [10] "Prediction error at end is:  0.297402597402597"
## [1] "10fold cv-error:  0.305555555555556"
## [1] "For predictors Channel_Network_Base_Level_hr AND crosc_ws11_hr_hr"
##      
## preds  1  2  3  4  5
##     1 44  0  6  1  0
##     2  0  0  0  0  0
##     3  0  0  0  0  0
##     4  7  1 12 32  5
##     5  0  0  0  0  0
## [1] "Kappa overall =  0.518796992481203"
## [1] "Tau overall =  0.62962962962963"
## [1] "mean quality =  0.262068965517241"
## [1] "The quality is  0.262068965517241"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.268518518518518"
## [1] "For predictors Channel_Network_Base_Level_hr AND crosc_ws11_hr_hr AND Topographic_Wetness_Index_50m AND Catchment_area_50m AND vectorruggedness_hr_ws11 AND terraintexture_hr_ws13_tp25 AND ValleyDepth_hr AND Catchment_Area_hr AND crosc_DTM_50m_avg_ws9_50m AND Catchment_Area2_50m AND elev_ws11_10m AND maxic_ws3_hr_hr AND maxic_ws15_hr_hr AND MaximalCurvature_10m AND ValleyDepth_10m AND Mid_Slope_Positon_50m AND vectorruggedness_hr_ws5 AND geom_hr_L50m_fl10_rpliprichness_UE_hr_20cells_hr AND slope_DTM_50m_avg_ws5_50m AND planc_DTM_50m_avg_ws9_50m AND terraintexture_hr_ws57_tp25 AND Vertical_Distance_to_Channel_Network_hr AND profc_DTM_50m_avg_ws7_50m AND planc_ws15_hr_hr AND planc_ws19_hr_hr AND vectorruggedness_hr_ws3 AND Catchment_slope_50m AND LSFactor_10m AND slope_DTM_50m_avg_ws7_50m AND ChannelNetworkBaseLevel_10m AND Valley_Depth_hr AND geom_hr_L3_fl10_rplipdominance_UE_hr_5cells_hr AND longc_DTM_50m_avg_ws5_50m AND geom_hr_L3_fl1_rpliprichness_UE_hr_60cells_hr AND minic_ws15_10m AND crosc_ws13_hr_hr AND geom_hr_L3_fl10_rplipdominance_UE_hr_60cells_hr AND maxic_DTM_50m_avg_ws7_50m AND longc_ws3_10m"
##      
## preds  1  2  3  4  5
##     1 49  0  1  0  1
##     2  0  1  0  0  0
##     3  1  0 14  2  1
##     4  1  0  3 31  3
##     5  0  0  0  0  0
## [1] "Kappa overall =  0.812399786210583"
## [1] "Tau overall =  0.849537037037037"
## [1] "mean quality =  0.667178387650086"
## [1] "The quality is  0.667178387650086"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "######################WITH ALL PREDICTORS###################"
## [1] "10fold cv-error:  0.416666666666667"
##      
## preds  1  2  3  4  5
##     1 47  0  6  7  2
##     2  0  0  0  0  0
##     3  0  0  0  0  0
##     4  4  1 12 26  3
##     5  0  0  0  0  0
## [1] "Kappa overall =  0.458762886597938"
## [1] "Tau overall =  0.594907407407407"
## [1] "mean quality =  0.240537449971412"
## [1] "The quality is  0.240537449971412"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1d.1 - Potential for retention of heavy metals"
##  [1] "Prediction error at end is:  0.417748917748918"
##  [2] "Prediction error at end is:  0.380519480519481"
##  [3] "Prediction error at end is:  0.38008658008658" 
##  [4] "Prediction error at end is:  0.38008658008658" 
##  [5] "Prediction error at end is:  0.388311688311688"
##  [6] "Prediction error at end is:  0.351515151515152"
##  [7] "Prediction error at end is:  0.37012987012987" 
##  [8] "Prediction error at end is:  0.351082251082251"
##  [9] "Prediction error at end is:  0.36017316017316" 
## [10] "Prediction error at end is:  0.36969696969697" 
## [1] "10fold cv-error:  0.324074074074074"
## [1] "For predictors vectorruggedness_hr_ws47 AND dtm_hr_CONVEX_r30"
##      
## preds  1  2  3  4  5
##     1 38  4  5  2  6
##     2  0  0  0  0  0
##     3  0  0  0  0  0
##     4  0  0  0  2  0
##     5  4  3  5  3 36
## [1] "Kappa overall =  0.519866629619339"
## [1] "Tau overall =  0.62962962962963"
## [1] "mean quality =  0.312272205938575"
## [1] "The quality is  0.312272205938575"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.287037037037037"
## [1] "For predictors vectorruggedness_hr_ws47 AND dtm_hr_CONVEX_r30 AND TWI_10m AND Topographic_Wetness_Index_50m AND profc_ws3_hr_hr AND minic_DTM_50m_avg_ws9_50m AND dtm_hr_TEXTURE_r20 AND geom_hr_L50m_fl10_rplipmps_UE_hr_40cells_hr AND geom_hr_L50m_fl1_rplipmps_UE_hr_60cells_hr AND Catchment_area_50m AND vectorruggedness_hr_ws31 AND minic_ws5_hr_hr AND terraintexture_hr_ws45_tp25 AND Standardized_Height_50m AND planc_DTM_50m_avg_ws11_50m AND Tangential_Curvature_50m AND NormalizedHeight_10m AND vectorruggedness_hr_ws55 AND vectorruggedness_hr_ws45 AND minic_ws29_hr_hr AND TRI_hr_ws11 AND geom_hr_L3_fl10_rplipmps_UE_hr_20cells_hr AND geom_hr_L3_fl1_rplipshannon_UE_hr_60cells_hr AND vectorruggedness_hr_ws49 AND geom_hr_L3_fl1_rplipdominance_UE_hr_40cells_hr AND longc_ws19_hr_hr AND minic_ws15_10m AND maxic_ws5_10m AND TRI_hr_ws20 AND Texture_10m AND geom_hr_L3_fl10_rplipdominance_UE_hr_5cells_hr AND dtm_hr_TEXTURE_r10 AND Modified_Catchment_Area_50m AND geom_hr_L50m_fl1_rplipedgedensity_UE_hr_40cells_hr AND dtm_hr_TEXTURE_r5 AND geom_hr_L3_fl1_rplipedgedensity_UE_hr_40cells_hr AND Channel_Network_Base_Level_hr AND slope_DTM_50m_avg_ws5_50m AND longc_ws11_hr_hr AND geom_hr_L3_fl1_rplipdominance_UE_hr_60cells_hr AND longc_ws3_10m AND vectorruggedness_hr_ws9 AND geom_hr_L3_fl10_rplipdominance_UE_hr_40cells_hr AND MaximalCurvature_10m AND geom_hr_L3_fl1_rplipsimpson_UE_hr_40cells_hr AND Longitudinal_Curvature_hr"
##      
## preds  1  2  3  4  5
##     1 42  6  5  3  3
##     2  0  0  0  0  0
##     3  0  0  3  0  0
##     4  0  0  0  2  0
##     5  0  1  2  2 39
## [1] "Kappa overall =  0.674252810529202"
## [1] "Tau overall =  0.74537037037037"
## [1] "mean quality =  0.4254731853073"
## [1] "The quality is  0.4254731853073"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "######################WITH ALL PREDICTORS###################"
## [1] "10fold cv-error:  0.37037037037037"
##      
## preds  1  2  3  4  5
##     1 38  4  6  3  7
##     2  0  0  0  0  0
##     3  0  0  0  0  0
##     4  0  0  0  0  0
##     5  4  3  4  4 35
## [1] "Kappa overall =  0.46969696969697"
## [1] "Tau overall =  0.594907407407407"
## [1] "mean quality =  0.24538766270515"
## [1] "The quality is  0.24538766270515"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1d.2 - Potential for transforming organic contaminants"
##  [1] "Prediction error at end is:  0.51991341991342" 
##  [2] "Prediction error at end is:  0.527705627705628"
##  [3] "Prediction error at end is:  0.593506493506494"
##  [4] "Prediction error at end is:  0.602164502164502"
##  [5] "Prediction error at end is:  0.565367965367965"
##  [6] "Prediction error at end is:  0.583549783549784"
##  [7] "Prediction error at end is:  0.555844155844156"
##  [8] "Prediction error at end is:  0.547186147186147"
##  [9] "Prediction error at end is:  0.564935064935065"
## [10] "Prediction error at end is:  0.518614718614719"
## [1] "10fold cv-error:  0.5"
## [1] "For predictors Channel_Network_Base_Level_hr AND crosc_ws13_hr_hr"
##      
## preds  1  2  3  4  5
##     1  0  0  0  0  0
##     2  0  4  1  0  3
##     3  8 13 24  2  5
##     4  0  0  0  1  0
##     5  2  5  3  6 31
## [1] "Kappa overall =  0.367032967032967"
## [1] "Tau overall =  0.444444444444444"
## [1] "mean quality =  0.251433011433011"
## [1] "The quality is  0.251433011433011"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.453703703703704"
## [1] "For predictors Channel_Network_Base_Level_hr AND crosc_ws13_hr_hr AND geom_hr_L50m_fl10_rplipdominance_UE_hr_40cells_hr AND Relative_Slope_Position_hr AND slope_DTM_50m_avg_ws3_50m AND Vertical_Distance_to_Channel_Network_50m AND geom_hr_L3_fl10_rplipdominance_UE_hr_10cells_hr AND Slope_50m AND Catchment_area_50m AND geom_hr_L50m_fl10_rplipmps_UE_hr_10cells_hr AND Topographic_Wetness_Index_50m AND maxic_DTM_50m_avg_ws9_50m AND dtm_hr_CONVEX_r20 AND longc_ws11_10m AND General_Curvature_hr AND geom_hr_L3_fl10_rplipdominance_UE_hr_5cells_hr AND geom_hr_L50m_fl10_rplipdominance_UE_hr_60cells_hr AND geom_10m_fl3_L30 AND elev_ws11_10m AND TRI_hr_ws57 AND vectorruggedness_hr_ws55 AND Profile_Curvature_hr AND Standardized_Height_hr AND Texture_10m AND geom_10m_fl10_L23 AND Standardized_Height_50m AND ChannelNetworkBaseLevel_10m AND geom_hr_L50m_fl1_rplipdominance_UE_hr_40cells_hr AND minic_DTM_50m_avg_ws3_50m AND Mid_Slope_Positon_50m AND terraintexture_hr_ws45_tp25 AND LS_Factor_50m AND longc_ws3_hr_hr AND geom_hr_L3_fl10_rplippatchdensity_UE_hr_20cells_hr AND geom_hr_L3_fl10_rplipdominance_UE_hr_60cells_hr AND geom_hr_L3_fl1_rplipdominance_UE_hr_5cells_hr AND geom_hr_L3_fl1_rplipsimpson_UE_hr_5cells_hr AND Convexity_50m AND geom_hr_L50m_fl10_rplippatchdensity_UE_hr_20cells_hr AND geom_hr_L50m_fl1_rplipedgedensity_UE_hr_5cells_hr AND TRI_hr_ws36 AND geom_10m_fl3_L34"
##      
## preds  1  2  3  4  5
##     1  3  0  0  0  0
##     2  3 14  0  0  0
##     3  4  6 27  2  4
##     4  0  0  0  2  0
##     5  0  2  1  5 35
## [1] "Kappa overall =  0.651237890204521"
## [1] "Tau overall =  0.6875"
## [1] "mean quality =  0.488107887384483"
## [1] "The quality is  0.488107887384483"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  0.632451537505577"
## [1] "######################WITH ALL PREDICTORS###################"
## [1] "10fold cv-error:  0.574074074074074"
##      
## preds  1  2  3  4  5
##     1  0  0  0  0  0
##     2  0  0  0  0  0
##     3  6 15 18  2  3
##     4  0  0  0  0  0
##     5  4  7 10  7 36
## [1] "Kappa overall =  0.265120967741935"
## [1] "Tau overall =  0.375"
## [1] "mean quality =  0.174129353233831"
## [1] "The quality is  0.174129353233831"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1d.3 - Potential as filter and buffer for organic contaminants"
##  [1] "Prediction error at end is:  0.0367965367965368"
##  [2] "Prediction error at end is:  0.0367965367965368"
##  [3] "Prediction error at end is:  0.0458874458874459"
##  [4] "Prediction error at end is:  0.0367965367965368"
##  [5] "Prediction error at end is:  0.0367965367965368"
##  [6] "Prediction error at end is:  0.0367965367965368"
##  [7] "Prediction error at end is:  0.0458874458874459"
##  [8] "Prediction error at end is:  0.0458874458874459"
##  [9] "Prediction error at end is:  0.0367965367965368"
## [10] "Prediction error at end is:  0.0367965367965368"
## [1] "10fold cv-error:  0.0185185185185185"
## [1] "For predictors PlanCurvature_10m AND planc_ws11_hr_hr"
##      
## preds   4   5
##     4   2   0
##     5   2 104
## [1] "Kappa overall =  0.658227848101266"
## [1] "Tau overall =  0.962962962962963"
## [1] "mean quality =  0.740566037735849"
## [1] "The quality is  0.740566037735849"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  0.518568491248852"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.0370370370370371"
## [1] "For predictors PlanCurvature_10m AND planc_ws11_hr_hr AND geom_hr_L50m_fl1_rplipdominance_UE_hr_60cells_hr AND fischerk_ws7_hr AND vectorstrength_hr_ws7_hr AND Convexity_10m AND Catchment_Area2_50m AND planc_ws9_hr_hr AND planc_ws13_hr_hr AND fischerk_ws3_hr AND crosc_ws11_10m AND crosc_ws15_10m AND crosc_ws3_10m AND crosc_ws5_10m AND crosc_ws7_10m AND longc_ws11_10m AND longc_ws15_10m AND longc_ws3_10m AND longc_ws5_10m AND longc_ws7_10m AND geom_hr_L50m_fl1_rplippatchdensity_UE_hr_20cells_hr AND geom_hr_L50m_fl1_rplippatchnum_UE_hr_20cells_hr AND geom_hr_L50m_fl1_rplipedgedensity_UE_hr_40cells_hr AND geom_hr_L50m_fl1_rplippatchdensity_UE_hr_40cells_hr AND geom_hr_L50m_fl1_rplippatchnum_UE_hr_40cells_hr AND geom_hr_L50m_fl1_rplipshape_UE_hr_40cells_hr AND geom_hr_L3_fl10_rplipdominance_UE_hr_60cells_hr AND planc_ws5_hr_hr"
##      
## preds   4   5
##     4   3   0
##     5   1 104
## [1] "Kappa overall =  0.852459016393442"
## [1] "Tau overall =  0.981481481481481"
## [1] "mean quality =  0.870238095238095"
## [1] "The quality is  0.870238095238095"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  0.712718059941681"
## [1] "######################WITH ALL PREDICTORS###################"
## [1] "10fold cv-error:  0.0370370370370371"
##      
## preds   4   5
##     4   0   0
##     5   4 104
## [1] "Kappa overall =  0"
## [1] "Tau overall =  0.925925925925926"
## [1] "mean quality =  0.481481481481482"
## [1] "The quality is  0.481481481481482"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1d.4 - Potential for retention of water-soluble contaminants"
##  [1] "Prediction error at end is:  0.592207792207792"
##  [2] "Prediction error at end is:  0.555411255411255"
##  [3] "Prediction error at end is:  0.564502164502165"
##  [4] "Prediction error at end is:  0.601731601731602"
##  [5] "Prediction error at end is:  0.601731601731602"
##  [6] "Prediction error at end is:  0.592640692640693"
##  [7] "Prediction error at end is:  0.573593073593074"
##  [8] "Prediction error at end is:  0.564502164502165"
##  [9] "Prediction error at end is:  0.564502164502165"
## [10] "Prediction error at end is:  0.573593073593074"
## [1] "10fold cv-error:  0.453703703703704"
## [1] "For predictors TRI_hr_ws29 AND fischerk_ws55_hr"
##      
## preds  1  2  3  4  5
##     1 45 10  7 11  1
##     2  0  0  0  0  0
##     3  2  0  7  3  3
##     4  0  4  3  8  3
##     5  0  0  0  0  1
## [1] "Kappa overall =  0.325627740135512"
## [1] "Tau overall =  0.456018518518518"
## [1] "mean quality =  0.249421052631579"
## [1] "The quality is  0.249421052631579"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.416666666666667"
## [1] "For predictors TRI_hr_ws29 AND fischerk_ws55_hr AND geom_hr_L3_fl1_rplipshannon_UE_hr_10cells_hr AND geom_hr_L50m_fl1_rplipshannon_UE_hr_40cells_hr AND slope_DTM_50m_avg_ws5_50m AND Normalized_Height_50m AND geom_hr_L50m_fl10_rpliprichness_UE_hr_40cells_hr AND geom_hr_L50m_fl10_rpliprichness_UE_hr_60cells_hr AND Catchment_area_50m AND Profile_Curvature_hr AND FlowLineCurvature_10m AND slope_ws11_hr_hr AND geom_hr_L3_fl1_rplipsimpson_UE_hr_10cells_hr AND RelativeSlopePosition_10m AND crosc_ws7_hr_hr AND TRI_hr_ws10 AND minic_ws7_10m AND planc_ws13_hr_hr AND geom_hr_L50m_fl10_rplipmps_UE_hr_60cells_hr AND geom_10m_fl1_L17 AND crosc_ws7_10m AND terraintexture_hr_ws49_tp25 AND terraintexture_hr_ws41_tp25 AND maxic_ws13_hr_hr AND planc_DTM_50m_avg_ws11_50m AND vectorruggedness_hr_ws59 AND geom_hr_L3_fl1_rplipshannon_UE_hr_40cells_hr AND geom_hr_L50m_fl1_rpliprichness_UE_hr_40cells_hr AND Convexity_10m AND maxic_ws7_10m AND sagaTopographic_Wetness_Index_50m AND geom_hr_L3_fl1_rplipdominance_UE_hr_10cells_hr AND geom_hr_L3_fl1_rplipshannon_UE_hr_20cells_hr AND geom_hr_L3_fl1_rpliprichness_UE_hr_40cells_hr AND geom_hr_L50m_fl1_rplippatchdensity_UE_hr_20cells_hr AND Mass_Balance_Index_hr AND geom_hr_L50m_fl10_rplipmps_UE_hr_20cells_hr AND geom_hr_L3_fl1_rplipsimpson_UE_hr_60cells_hr AND TRI_hr_ws44 AND slope_ws5_hr_hr AND Tangential_Curvature_hr AND geom_hr_L50m_fl10_rplippatchdensity_UE_hr_5cells_hr AND Profile_Curvature_50m AND LongitudinalCurvature_10m AND geom_hr_L50m_fl1_rplipmps_UE_hr_20cells_hr AND geom_hr_L50m_fl1_rplipdominance_UE_hr_5cells_hr AND Vertical_Distance_to_Channel_Network_50m"
##      
## preds  1  2  3  4  5
##     1 47  9  5  4  0
##     2  0  3  0  0  0
##     3  0  0 10  0  1
##     4  0  2  2 18  2
##     5  0  0  0  0  5
## [1] "Kappa overall =  0.654377880184332"
## [1] "Tau overall =  0.710648148148148"
## [1] "mean quality =  0.552155067155067"
## [1] "The quality is  0.552155067155067"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  0.686929444529617"
## [1] "######################WITH ALL PREDICTORS###################"
## [1] "10fold cv-error:  0.537037037037037"
##      
## preds  1  2  3  4  5
##     1 47 12 12 15  5
##     2  0  0  0  0  0
##     3  0  0  3  0  0
##     4  0  2  2  7  3
##     5  0  0  0  0  0
## [1] "Kappa overall =  0.216277746158224"
## [1] "Tau overall =  0.409722222222222"
## [1] "mean quality =  0.186866683012728"
## [1] "The quality is  0.186866683012728"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1d.5 - Potential as buffer for acidic contaminants"
##  [1] "Prediction error at end is:  0.61038961038961" 
##  [2] "Prediction error at end is:  0.592207792207792"
##  [3] "Prediction error at end is:  0.611688311688312"
##  [4] "Prediction error at end is:  0.612554112554113"
##  [5] "Prediction error at end is:  0.592640692640693"
##  [6] "Prediction error at end is:  0.647619047619048"
##  [7] "Prediction error at end is:  0.601298701298701"
##  [8] "Prediction error at end is:  0.638961038961039"
##  [9] "Prediction error at end is:  0.638528138528139"
## [10] "Prediction error at end is:  0.574891774891775"
## [1] "10fold cv-error:  0.518518518518519"
## [1] "For predictors Standardized_Height_50m AND geom_hr_L3_fl10_rplipedgedensity_UE_hr_10cells_hr"
##      
## preds  1  2  3  4  5
##     1 38 12  9  7  3
##     2  0 10  1  2  0
##     3  0  1 10  3  5
##     4  1  1  0  4  1
##     5  0  0  0  0  0
## [1] "Kappa overall =  0.391847227322806"
## [1] "Tau overall =  0.467592592592593"
## [1] "mean quality =  0.293716283044777"
## [1] "The quality is  0.293716283044777"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.537037037037037"
## [1] "For predictors Standardized_Height_50m AND geom_hr_L3_fl10_rplipedgedensity_UE_hr_10cells_hr AND geom_hr_L50m_fl1_rplipshannon_UE_hr_5cells_hr AND geom_hr_L50m_fl1_rplipshannon_UE_hr_60cells_hr AND planc_DTM_50m_avg_ws3_50m AND geom_hr_L3_fl10_rplipmps_UE_hr_5cells_hr AND Normalized_Height_50m AND Mid_Slope_Positon_50m AND Slope_Height_50m AND LS_Factor_hr AND Profile_Curvature_50m AND ValleyDepth_10m AND Texture_10m AND geom_hr_L3_fl1_rplipmps_UE_hr_20cells_hr AND geom_hr_L3_fl10_rplippatchdensity_UE_hr_40cells_hr AND longc_ws11_10m AND Texture_50m AND terraintexture_hr_ws41_tp25 AND fischerk_ws33_hr AND Catchment_slope_50m AND Convexity_50m AND sagaTopographic_Wetness_Index_50m AND geom_hr_L3_fl10_rplipshannon_UE_hr_5cells_hr AND geom_hr_L3_fl10_rplipshape_UE_hr_10cells_hr AND geom_hr_L50m_fl1_rplipshannon_UE_hr_20cells_hr AND planc_DTM_50m_avg_ws7_50m AND TRI_hr_ws48 AND dtm_hr_CONVEX_r5 AND General_Curvature_hr AND geom_hr_L3_fl1_rplipdominance_UE_hr_5cells_hr AND geom_hr_L3_fl1_rplipshannon_UE_hr_5cells_hr AND geom_hr_L3_fl1_rplippatchdensity_UE_hr_10cells_hr AND longc_DTM_50m_avg_ws7_50m AND geom_hr_L3_fl1_rpliprichness_UE_hr_60cells_hr AND profc_ws23_hr_hr AND geom_hr_L3_fl1_rplipmps_UE_hr_40cells_hr AND planc_ws23_hr_hr AND geom_hr_L50m_fl10_rplipsimpson_UE_hr_5cells_hr AND geom_hr_L3_fl10_rpliprichness_UE_hr_5cells_hr AND geom_hr_L50m_fl10_rplipshannon_UE_hr_5cells_hr AND geom_hr_L50m_fl10_rplipmps_UE_hr_10cells_hr AND crosc_ws3_hr_hr AND geom_hr_L50m_fl1_rplipsimpson_UE_hr_60cells_hr"
##      
## preds  1  2  3  4  5
##     1 38  4  4  0  1
##     2  1 20  2  1  2
##     3  0  0 14  0  3
##     4  0  0  0 15  0
##     5  0  0  0  0  3
## [1] "Kappa overall =  0.773953488372093"
## [1] "Tau overall =  0.791666666666667"
## [1] "mean quality =  0.667572463768116"
## [1] "The quality is  0.667572463768116"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  0.774060526135238"
## [1] "######################WITH ALL PREDICTORS###################"
## [1] "10fold cv-error:  0.638888888888889"
##      
## preds  1  2  3  4  5
##     1 39 21 20 16  9
##     2  0  3  0  0  0
##     3  0  0  0  0  0
##     4  0  0  0  0  0
##     5  0  0  0  0  0
## [1] "Kappa overall =  0.0492196878751501"
## [1] "Tau overall =  0.236111111111111"
## [1] "mean quality =  0.0992857142857143"
## [1] "The quality is  0.0992857142857143"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
i=1
for(i in 1:length(dependentlist)){
  dep=dependentlist[i]
  print(dependentlist_eng[i])
  load(paste("../data/modeldata/SVMorigmodeldatawithgeoandgeom_",dep,".RData",sep=""))  
  preds <- evaluateforwardCV_anyerror(mypath=paste("../data/FSCV/SVM_localterrain/SVMwithgeoandgeom_fw_5fold_10p_",dep,"_localterrain",sep=""),kk=1:5,endround = 10,error = "cverror",geheim = "geheimerprederror",yrange=c(0,1))
  predictors <- c(as.character(preds[1,1]),as.character(preds[2,1]))
  predict_radial_full(modeldata=origmodeldata, dependent=dep, predictors=predictors,kappasum = F,tausum = F)
    predictors = vector()
  for (n in 1:ncol(preds)){
    for (n2 in 1:nrow(preds)){
      predictors <- c(predictors,as.character(preds[n2,n]))
    }
  } 
    print("###################### WITH  PREDICTORS from the FW SELECTION ###################")
  uniquepredictors <- unique(predictors)
  predict_radial_full(modeldata=origmodeldata, dependent=dep, predictors=uniquepredictors)
  #print("######################WITH ALL PREDICTORS###################")
  #predict_radial_full(modeldata=origmodeldata, dependent=dep, predictors=unlist(paramsets[1]),printpreds = FALSE)
  rm(origmodeldata,paramsets,paramsetnames,dependent)
  
}
## [1] "1a.2.1 - Potential as a habitat for drought-tolerant species"
##  [1] "Prediction error at end is:  0.657575757575758"
##  [2] "Prediction error at end is:  0.686580086580087"
##  [3] "Prediction error at end is:  0.658441558441558"
##  [4] "Prediction error at end is:  0.648917748917749"
##  [5] "Prediction error at end is:  0.667099567099567"
##  [6] "Prediction error at end is:  0.694805194805195"
##  [7] "Prediction error at end is:  0.694372294372294"
##  [8] "Prediction error at end is:  0.703896103896104"
##  [9] "Prediction error at end is:  0.666233766233766"
## [10] "Prediction error at end is:  0.676190476190476"
## [1] "10fold cv-error:  0.5"
## [1] "For predictors slope_DTM_50m_avg_ws9_50m AND planc_ws19_hr_hr"
##      
## preds  1  2  3  4  5
##     1  0  0  0  0  0
##     2  0  0  0  0  0
##     3  1  0  4  0  1
##     4  3 11 12 28  6
##     5  0  2  5 10 25
## [1] "Kappa overall =  0.304018195602729"
## [1] "Tau overall =  0.409722222222222"
## [1] "mean quality =  0.216823425022183"
## [1] "The quality is  0.216823425022183"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.62962962962963"
## [1] "For predictors slope_DTM_50m_avg_ws9_50m AND planc_ws19_hr_hr AND Longitudinal_Curvature_hr AND profc_DTM_50m_avg_ws11_50m AND maxic_ws15_10m AND GeneralCurvature_10m AND maxic_DTM_50m_avg_ws9_50m AND profc_DTM_50m_avg_ws9_50m AND MaximalCurvature_10m AND slope_ws5_hr_hr AND slope_DTM_50m_avg_ws11_50m AND profc_ws3_10m AND planc_ws11_hr_hr AND crosc_ws7_hr_hr AND crosc_ws3_hr_hr AND slope_DTM_50m_avg_ws3_50m AND ProfileCurvature_10m AND slope_ws5_10m AND longc_ws3_10m AND profc_ws5_hr_hr AND crosc_ws3_10m AND minic_ws19_hr_hr AND minic_ws3_10m AND minic_ws29_hr_hr AND profc_ws7_hr_hr AND minic_ws5_hr_hr AND crosc_ws5_10m AND minic_ws13_hr_hr AND maxic_ws5_hr_hr AND slope_ws3_hr_hr AND TangentialCurvature_10m AND CrossSectionalCurvature_50m AND planc_ws5_10m AND slope_DTM_50m_avg_ws7_50m AND longc_DTM_50m_avg_ws3_50m AND longc_ws7_10m AND Flow_Line_Curvature_hr AND slope_ws19_hr_hr AND profc_ws13_hr_hr"
##      
## preds  1  2  3  4  5
##     1  2  0  0  0  0
##     2  0  7  0  0  0
##     3  1  2  9  0  0
##     4  1  4  9 33  5
##     5  0  0  3  5 27
## [1] "Kappa overall =  0.605695509309967"
## [1] "Tau overall =  0.652777777777778"
## [1] "mean quality =  0.533481781376518"
## [1] "The quality is  0.533481781376518"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  0.662776125620467"
## [1] "1a.2.2 - Potential as a habitat for moisture-tolerant species"
##  [1] "Prediction error at end is:  0.667099567099567"
##  [2] "Prediction error at end is:  0.648484848484848"
##  [3] "Prediction error at end is:  0.638961038961039"
##  [4] "Prediction error at end is:  0.61991341991342" 
##  [5] "Prediction error at end is:  0.619047619047619"
##  [6] "Prediction error at end is:  0.573160173160173"
##  [7] "Prediction error at end is:  0.583549783549783"
##  [8] "Prediction error at end is:  0.545454545454545"
##  [9] "Prediction error at end is:  0.535930735930736"
## [10] "Prediction error at end is:  0.564069264069264"
## [1] "10fold cv-error:  0.564814814814815"
## [1] "For predictors crosc_ws5_10m AND CrossSectionalCurvature_hr"
##      
## preds  2  3  4  5
##     2 32 20 22  5
##     3  0  2  0  0
##     4  1  1 13  5
##     5  0  0  0  7
## [1] "Kappa overall =  0.2880859375"
## [1] "Tau overall =  0.333333333333333"
## [1] "mean quality =  0.302061259286323"
## [1] "The quality is  0.302061259286323"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  0.456055648375919"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.574074074074074"
## [1] "For predictors crosc_ws5_10m AND CrossSectionalCurvature_hr AND minic_ws5_hr_hr AND minic_ws29_hr_hr AND longc_DTM_50m_avg_ws11_50m AND planc_DTM_50m_avg_ws5_50m AND slope_ws3_10m AND dtm_hr_CONVEX_r30 AND minic_DTM_50m_avg_ws11_50m AND Longitudinal_Curvature_hr AND slope_DTM_50m_avg_ws7_50m AND maxic_ws11_hr_hr AND maxic_ws13_hr_hr AND maxic_ws9_hr_hr AND maxic_ws5_10m AND maxic_ws23_hr_hr AND maxic_ws3_10m AND Convexity_50m AND planc_ws3_hr_hr AND planc_ws7_10m AND Convergence_Index_hr AND slope_DTM_50m_avg_ws11_50m AND crosc_ws11_10m AND Convergence_Index_50m AND slope_DTM_50m_avg_ws9_50m AND minic_ws7_10m AND planc_ws29_hr_hr AND maxic_ws7_10m AND LongitudinalCurvature_10m AND slope_ws5_hr_hr AND crosc_ws5_hr_hr AND General_Curvature_50m AND planc_ws5_10m AND longc_ws5_hr_hr AND maxic_ws11_10m AND slope_ws11_hr_hr"
##      
## preds  2  3  4  5
##     2 30 11  5  2
##     3  0 10  0  0
##     4  3  2 30  4
##     5  0  0  0 11
## [1] "Kappa overall =  0.648590021691974"
## [1] "Tau overall =  0.666666666666667"
## [1] "mean quality =  0.587973727040223"
## [1] "The quality is  0.587973727040223"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  0.701030983148723"
## [1] "1a.3 - Habitat for soil organisms"
##  [1] "Prediction error at end is:  0.638961038961039"
##  [2] "Prediction error at end is:  0.602164502164502"
##  [3] "Prediction error at end is:  0.566666666666667"
##  [4] "Prediction error at end is:  0.576190476190476"
##  [5] "Prediction error at end is:  0.520779220779221"
##  [6] "Prediction error at end is:  0.52034632034632" 
##  [7] "Prediction error at end is:  0.539393939393939"
##  [8] "Prediction error at end is:  0.511688311688312"
##  [9] "Prediction error at end is:  0.52987012987013" 
## [10] "Prediction error at end is:  0.52987012987013" 
## [1] "10fold cv-error:  0.472222222222222"
## [1] "For predictors slope_DTM_50m_avg_ws9_50m AND crosc_ws3_hr_hr"
##      
## preds  1  2  3  4
##     1  3  0  0  0
##     2 21 33  7 10
##     3  0  1 18  4
##     4  0  0  1 10
## [1] "Kappa overall =  0.428571428571428"
## [1] "Tau overall =  0.45679012345679"
## [1] "mean quality =  0.390994623655914"
## [1] "The quality is  0.390994623655914"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  0.5399090352713"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.5"
## [1] "For predictors slope_DTM_50m_avg_ws9_50m AND crosc_ws3_hr_hr AND minic_ws5_10m AND PlanCurvature_10m AND slope_DTM_50m_avg_ws11_50m AND profc_ws7_10m AND maxic_DTM_50m_avg_ws5_50m AND Total_Curvature_50m AND maxic_ws3_10m AND FlowLineCurvature_10m AND slope_ws5_hr_hr AND longc_ws7_10m AND planc_ws19_hr_hr AND slope_DTM_50m_avg_ws7_50m AND minic_ws5_hr_hr AND Flow_Line_Curvature_hr AND slope_DTM_50m_avg_ws5_50m AND longc_DTM_50m_avg_ws7_50m AND minic_DTM_50m_avg_ws11_50m AND crosc_ws11_hr_hr AND planc_ws5_10m AND Longitudinal_Curvature_hr AND Convexity_50m AND minic_DTM_50m_avg_ws7_50m AND longc_ws5_hr_hr AND maxic_DTM_50m_avg_ws3_50m AND longc_DTM_50m_avg_ws5_50m AND planc_ws7_10m AND Slope_50m AND maxic_DTM_50m_avg_ws11_50m AND dtm_hr_CONVEX_r20 AND crosc_ws11_10m AND crosc_DTM_50m_avg_ws11_50m AND minic_ws29_hr_hr AND LongitudinalCurvature_10m AND planc_ws3_hr_hr"
##      
## preds  1  2  3  4
##     1 18  7  2  1
##     2  6 25  4  5
##     3  0  2 19  1
##     4  0  0  1 17
## [1] "Kappa overall =  0.636995827538248"
## [1] "Tau overall =  0.641975308641975"
## [1] "mean quality =  0.59369706503291"
## [1] "The quality is  0.59369706503291"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  0.680333202532746"
## [1] "1a.4 - Habitat for crops"
##  [1] "Prediction error at end is:  0.176190476190476"
##  [2] "Prediction error at end is:  0.222943722943723"
##  [3] "Prediction error at end is:  0.213852813852814"
##  [4] "Prediction error at end is:  0.223376623376623"
##  [5] "Prediction error at end is:  0.204761904761905"
##  [6] "Prediction error at end is:  0.213419913419913"
##  [7] "Prediction error at end is:  0.222943722943723"
##  [8] "Prediction error at end is:  0.232467532467532"
##  [9] "Prediction error at end is:  0.232900432900433"
## [10] "Prediction error at end is:  0.241991341991342"
## [1] "10fold cv-error:  0.175925925925926"
## [1] "For predictors slope_ws3_hr_hr AND planc_ws29_hr_hr"
##      
## preds  3  4  5
##     3  2  0  0
##     4  5 61  6
##     5  1  1 32
## [1] "Kappa overall =  0.761710794297352"
## [1] "Tau overall =  0.819444444444444"
## [1] "mean quality =  0.628538812785388"
## [1] "The quality is  0.628538812785388"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  0.684411620853101"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.194444444444444"
## [1] "For predictors slope_ws3_hr_hr AND planc_ws29_hr_hr AND slope_ws15_10m AND planc_ws23_hr_hr AND Plan_Curvature_hr AND Slope_hr AND planc_ws3_hr_hr AND planc_DTM_50m_avg_ws11_50m AND Convergence_Index_50m AND planc_DTM_50m_avg_ws7_50m AND slope_ws11_10m AND slope_DTM_50m_avg_ws3_50m AND Slope_50m AND Convexity_10m AND longc_DTM_50m_avg_ws11_50m AND crosc_ws5_10m AND crosc_ws23_hr_hr AND Flow_Line_Curvature_50m AND Total_Curvature_hr AND minic_ws5_10m AND slope_ws5_hr_hr AND minic_ws7_10m AND longc_ws7_hr_hr AND minic_ws7_hr_hr AND minic_ws15_10m AND slope_ws3_10m AND slope_ws5_10m AND slope_DTM_50m_avg_ws7_50m AND slope_DTM_50m_avg_ws11_50m AND slope_ws11_hr_hr AND dtm_hr_CONVEX_r30 AND slope_ws15_hr_hr AND LongitudinalCurvature_10m AND minic_ws11_10m AND planc_ws9_hr_hr AND planc_ws5_10m AND slope_DTM_50m_avg_ws9_50m AND planc_ws11_10m"
##      
## preds  3  4  5
##     3  2  0  0
##     4  6 61  6
##     5  0  1 32
## [1] "Kappa overall =  0.760736196319018"
## [1] "Tau overall =  0.819444444444444"
## [1] "mean quality =  0.631612381612382"
## [1] "The quality is  0.631612381612382"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  0.694203111304538"
## [1] "1c.1 - Average precipitation retention capacity"
##  [1] "Prediction error at end is:  0.611255411255411"
##  [2] "Prediction error at end is:  0.583982683982684"
##  [3] "Prediction error at end is:  0.583982683982684"
##  [4] "Prediction error at end is:  0.556709956709957"
##  [5] "Prediction error at end is:  0.592640692640693"
##  [6] "Prediction error at end is:  0.62034632034632" 
##  [7] "Prediction error at end is:  0.611255411255411"
##  [8] "Prediction error at end is:  0.611255411255411"
##  [9] "Prediction error at end is:  0.611255411255411"
## [10] "Prediction error at end is:  0.611255411255411"
## [1] "10fold cv-error:  0.518518518518519"
## [1] "For predictors slope_DTM_50m_avg_ws5_50m AND Flow_Line_Curvature_50m"
##      
## preds  1  2  3  4  5
##     1 11  1  3  3  5
##     2 15 44  9 14  2
##     3  0  0  0  0  0
##     4  0  0  0  1  0
##     5  0  0  0  0  0
## [1] "Kappa overall =  0.227297743533297"
## [1] "Tau overall =  0.398148148148148"
## [1] "mean quality =  0.172535259717922"
## [1] "The quality is  0.172535259717922"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.537037037037037"
## [1] "For predictors slope_DTM_50m_avg_ws5_50m AND Flow_Line_Curvature_50m AND maxic_DTM_50m_avg_ws11_50m AND dtm_hr_CONVEX_r10 AND crosc_ws3_10m AND slope_ws11_10m AND slope_DTM_50m_avg_ws7_50m AND Plan_Curvature_hr AND planc_ws13_hr_hr AND slope_ws15_10m AND ProfileCurvature_10m AND slope_DTM_50m_avg_ws11_50m AND crosc_DTM_50m_avg_ws11_50m AND crosc_DTM_50m_avg_ws9_50m AND planc_ws5_hr_hr AND dtm_hr_CONVEX_r30 AND planc_ws9_hr_hr AND minic_ws11_hr_hr AND profc_ws15_10m AND minic_DTM_50m_avg_ws7_50m AND minic_ws19_hr_hr AND minic_DTM_50m_avg_ws9_50m AND minic_ws3_hr_hr AND minic_DTM_50m_avg_ws11_50m AND profc_DTM_50m_avg_ws9_50m AND profc_ws5_hr_hr AND CrossSectionalCurvature_50m AND crosc_ws19_hr_hr AND GeneralCurvature_10m AND longc_ws11_10m AND profc_ws3_10m AND minic_ws15_10m AND slope_ws7_10m AND minic_DTM_50m_avg_ws5_50m AND slope_ws29_hr_hr AND Total_Curvature_50m AND planc_ws15_hr_hr AND Total_Curvature_hr AND planc_DTM_50m_avg_ws5_50m AND planc_ws11_hr_hr AND maxic_DTM_50m_avg_ws3_50m AND slope_DTM_50m_avg_ws9_50m"
##      
## preds  1  2  3  4  5
##     1 16  0  3  1  3
##     2 10 45  8 12  2
##     3  0  0  1  0  0
##     4  0  0  0  5  0
##     5  0  0  0  0  2
## [1] "Kappa overall =  0.437274549098196"
## [1] "Tau overall =  0.548611111111111"
## [1] "mean quality =  0.343217893217893"
## [1] "The quality is  0.343217893217893"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  0.495174407613578"
## [1] "1c.1 - Minimum precipitation retention capacity"
##  [1] "Prediction error at end is:  0.75974025974026" 
##  [2] "Prediction error at end is:  0.767532467532468"
##  [3] "Prediction error at end is:  0.767099567099567"
##  [4] "Prediction error at end is:  0.738961038961039"
##  [5] "Prediction error at end is:  0.73030303030303" 
##  [6] "Prediction error at end is:  0.738961038961039"
##  [7] "Prediction error at end is:  0.738528138528138"
##  [8] "Prediction error at end is:  0.766666666666667"
##  [9] "Prediction error at end is:  0.767099567099567"
## [10] "Prediction error at end is:  0.767099567099567"
## [1] "10fold cv-error:  0.703703703703704"
## [1] "For predictors crosc_ws11_10m AND minic_ws15_hr_hr"
##      
## preds  1  2  3  4  5
##     1  0  0  0  0  0
##     2  6 21 16 15  6
##     3  0  0  1  0  0
##     4  4  4  4 10  2
##     5  2  1  1  1 14
## [1] "Kappa overall =  0.250671441360788"
## [1] "Tau overall =  0.282407407407407"
## [1] "mean quality =  0.223664178012004"
## [1] "The quality is  0.223664178012004"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.731481481481482"
## [1] "For predictors crosc_ws11_10m AND minic_ws15_hr_hr AND planc_ws5_10m AND minic_DTM_50m_avg_ws11_50m AND Total_Curvature_50m AND Plan_Curvature_50m AND crosc_DTM_50m_avg_ws3_50m AND planc_ws3_hr_hr AND planc_ws11_10m AND Maximal_Curvature_50m AND minic_ws11_10m AND profc_ws15_10m AND Longitudinal_Curvature_hr AND PlanCurvature_10m AND Profile_Curvature_50m AND Convergence_Index_hr AND minic_DTM_50m_avg_ws5_50m AND profc_DTM_50m_avg_ws11_50m AND planc_ws7_10m AND CrossSectionalCurvature_50m AND minic_DTM_50m_avg_ws3_50m AND crosc_ws15_hr_hr AND dtm_hr_CONVEX_r30 AND slope_DTM_50m_avg_ws9_50m AND planc_ws3_10m AND maxic_ws29_hr_hr AND maxic_ws5_10m AND maxic_ws7_hr_hr AND maxic_ws3_10m AND longc_ws29_hr_hr AND Flow_Line_Curvature_50m AND minic_ws13_hr_hr AND slope_ws11_10m AND minic_DTM_50m_avg_ws7_50m AND LongitudinalCurvature_10m AND MinimalCurvature_10m AND longc_DTM_50m_avg_ws3_50m AND Profile_Curvature_hr AND Convexity_10m AND profc_ws11_10m AND minic_ws5_hr_hr AND planc_ws29_hr_hr"
##      
## preds  1  2  3  4  5
##     1  3  0  0  0  0
##     2  4 25  8  7  3
##     3  1  1 12  2  1
##     4  1  0  1 16  3
##     5  3  0  1  1 15
## [1] "Kappa overall =  0.558257793499889"
## [1] "Tau overall =  0.571759259259259"
## [1] "mean quality =  0.45739247311828"
## [1] "The quality is  0.45739247311828"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  0.581372327644911"
## [1] "1c.2 - Retention capacity for heavy precipitation events"
##  [1] "Prediction error at end is:  0.333333333333333"
##  [2] "Prediction error at end is:  0.296536796536797"
##  [3] "Prediction error at end is:  0.287445887445887"
##  [4] "Prediction error at end is:  0.287445887445887"
##  [5] "Prediction error at end is:  0.287445887445887"
##  [6] "Prediction error at end is:  0.278354978354978"
##  [7] "Prediction error at end is:  0.278354978354978"
##  [8] "Prediction error at end is:  0.287445887445887"
##  [9] "Prediction error at end is:  0.287445887445887"
## [10] "Prediction error at end is:  0.278354978354978"
## [1] "10fold cv-error:  0.268518518518518"
## [1] "For predictors crosc_ws7_10m AND maxic_ws11_10m"
##      
## preds  1  2  3  4  5
##     1 75 10  6  3  8
##     2  0  1  0  0  0
##     3  0  0  0  0  0
##     4  0  0  0  5  0
##     5  0  0  0  0  0
## [1] "Kappa overall =  0.264193792581378"
## [1] "Tau overall =  0.6875"
## [1] "mean quality =  0.29024064171123"
## [1] "The quality is  0.29024064171123"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.287037037037037"
## [1] "For predictors crosc_ws7_10m AND maxic_ws11_10m AND Total_Curvature_50m AND slope_DTM_50m_avg_ws3_50m AND crosc_DTM_50m_avg_ws5_50m AND crosc_ws3_hr_hr AND slope_ws11_10m AND Profile_Curvature_50m AND longc_DTM_50m_avg_ws3_50m AND profc_ws19_hr_hr AND longc_ws15_hr_hr AND Minimal_Curvature_50m AND Minimal_Curvature_hr AND minic_ws15_hr_hr AND profc_ws15_hr_hr AND longc_ws13_hr_hr AND longc_ws11_hr_hr AND minic_ws19_hr_hr AND planc_ws11_10m AND crosc_ws11_10m AND Maximal_Curvature_50m AND Convexity_50m AND Flow_Line_Curvature_50m AND Total_Curvature_hr AND Plan_Curvature_hr AND slope_DTM_50m_avg_ws5_50m AND profc_ws11_10m AND longc_ws5_10m AND minic_ws3_hr_hr AND maxic_ws7_10m AND maxic_ws15_10m AND maxic_DTM_50m_avg_ws5_50m AND Longitudinal_Curvature_hr AND minic_ws29_hr_hr AND minic_ws15_10m AND minic_ws5_10m AND longc_ws15_10m AND maxic_ws23_hr_hr AND minic_ws11_10m AND General_Curvature_hr AND maxic_ws3_hr_hr AND General_Curvature_50m"
##      
## preds  1  2  3  4  5
##     1 75  6  6  0  6
##     2  0  5  0  0  0
##     3  0  0  0  0  0
##     4  0  0  0  8  0
##     5  0  0  0  0  2
## [1] "Kappa overall =  0.573122529644269"
## [1] "Tau overall =  0.791666666666667"
## [1] "mean quality =  0.502199413489736"
## [1] "The quality is  0.502199413489736"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1c.3 - groundwater reformation rate"
##  [1] "Prediction error at end is:  0.658441558441558"
##  [2] "Prediction error at end is:  0.649350649350649"
##  [3] "Prediction error at end is:  0.658874458874459"
##  [4] "Prediction error at end is:  0.630735930735931"
##  [5] "Prediction error at end is:  0.639393939393939"
##  [6] "Prediction error at end is:  0.658441558441558"
##  [7] "Prediction error at end is:  0.658441558441558"
##  [8] "Prediction error at end is:  0.658441558441558"
##  [9] "Prediction error at end is:  0.658441558441558"
## [10] "Prediction error at end is:  0.649350649350649"
## [1] "10fold cv-error:  0.537037037037037"
## [1] "For predictors minic_ws15_10m AND maxic_ws7_hr_hr"
##      
## preds  1  2  3  4  5
##     1  1  0  0  0  0
##     2 13 37 10 14  9
##     3  0  0  1  0  0
##     4  0  0  1  4  0
##     5  0  2  2  1 13
## [1] "Kappa overall =  0.289833080424886"
## [1] "Tau overall =  0.398148148148148"
## [1] "mean quality =  0.251926548397137"
## [1] "The quality is  0.251926548397137"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  0.38726358510718"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.62962962962963"
## [1] "For predictors minic_ws15_10m AND maxic_ws7_hr_hr AND minic_ws29_hr_hr AND minic_ws3_hr_hr AND profc_ws3_hr_hr AND minic_ws7_10m AND LongitudinalCurvature_10m AND planc_DTM_50m_avg_ws11_50m AND crosc_ws5_10m AND maxic_ws3_10m AND slope_DTM_50m_avg_ws7_50m AND slope_ws3_10m AND Convexity_50m AND FlowLineCurvature_10m AND slope_DTM_50m_avg_ws5_50m AND crosc_ws7_10m AND dtm_hr_CONVEX_r10 AND General_Curvature_hr AND slope_ws7_10m AND crosc_ws23_hr_hr AND CrossSectionalCurvature_hr AND crosc_ws19_hr_hr AND planc_ws29_hr_hr AND planc_DTM_50m_avg_ws3_50m AND Flow_Line_Curvature_hr AND maxic_ws3_hr_hr AND crosc_ws3_hr_hr AND slope_DTM_50m_avg_ws9_50m AND Tangential_Curvature_hr AND slope_ws15_10m AND Minimal_Curvature_hr AND minic_ws11_10m AND minic_DTM_50m_avg_ws3_50m AND profc_ws7_hr_hr AND longc_DTM_50m_avg_ws9_50m AND Profile_Curvature_hr AND minic_ws13_hr_hr"
##      
## preds  1  2  3  4  5
##     1  3  0  0  0  0
##     2 11 38 10  5  9
##     3  0  0  2  0  0
##     4  0  0  1 12  0
##     5  0  1  1  2 13
## [1] "Kappa overall =  0.468373123307901"
## [1] "Tau overall =  0.537037037037037"
## [1] "mean quality =  0.394131274131274"
## [1] "The quality is  0.394131274131274"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  0.549432082090476"
## [1] "1c.4 - Potential for providing nutrients for plants"
##  [1] "Prediction error at end is:  0.352380952380952"
##  [2] "Prediction error at end is:  0.388311688311688"
##  [3] "Prediction error at end is:  0.36969696969697" 
##  [4] "Prediction error at end is:  0.341991341991342"
##  [5] "Prediction error at end is:  0.351948051948052"
##  [6] "Prediction error at end is:  0.370995670995671"
##  [7] "Prediction error at end is:  0.352380952380952"
##  [8] "Prediction error at end is:  0.343290043290043"
##  [9] "Prediction error at end is:  0.343290043290043"
## [10] "Prediction error at end is:  0.343290043290043"
## [1] "10fold cv-error:  0.342592592592593"
## [1] "For predictors minic_ws15_hr_hr AND crosc_ws3_hr_hr"
##      
## preds  1  3  5
##     1 64  9 15
##     3  0  0  0
##     5  1  2 17
## [1] "Kappa overall =  0.450226244343891"
## [1] "Tau overall =  0.625"
## [1] "mean quality =  0.401605136436597"
## [1] "The quality is  0.401605136436597"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.287037037037037"
## [1] "For predictors minic_ws15_hr_hr AND crosc_ws3_hr_hr AND minic_ws5_hr_hr AND maxic_ws3_10m AND planc_DTM_50m_avg_ws7_50m AND planc_DTM_50m_avg_ws11_50m AND Slope_50m AND minic_ws7_hr_hr AND Convergence_Index_50m AND Convergence_Index_hr AND minic_ws9_hr_hr AND Profile_Curvature_50m AND profc_ws23_hr_hr AND ProfileCurvature_10m AND Convexity_10m AND Total_Curvature_hr AND profc_ws15_hr_hr AND Tangential_Curvature_50m AND dtm_hr_CONVEX_r30 AND slope_ws3_hr_hr AND slope_ws15_hr_hr AND crosc_ws3_10m AND Plan_Curvature_50m AND crosc_DTM_50m_avg_ws5_50m AND General_Curvature_50m AND longc_ws15_10m AND minic_DTM_50m_avg_ws11_50m AND planc_ws11_10m AND Total_Curvature_50m AND Minimal_Curvature_50m AND LongitudinalCurvature_10m AND minic_ws7_10m AND General_Curvature_hr AND planc_ws3_hr_hr AND slope_ws5_hr_hr AND profc_ws29_hr_hr AND minic_ws15_10m AND Flow_Line_Curvature_hr"
##      
## preds  1  3  5
##     1 64  7  6
##     3  0  2  0
##     5  1  2 26
## [1] "Kappa overall =  0.697320021019443"
## [1] "Tau overall =  0.777777777777778"
## [1] "mean quality =  0.581729381729382"
## [1] "The quality is  0.581729381729382"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  0.638035811797989"
## [1] "1c.5 - Potential as a CO2 sink"
##  [1] "Prediction error at end is:  0.502164502164502"
##  [2] "Prediction error at end is:  0.446320346320346"
##  [3] "Prediction error at end is:  0.38008658008658" 
##  [4] "Prediction error at end is:  0.351948051948052"
##  [5] "Prediction error at end is:  0.37012987012987" 
##  [6] "Prediction error at end is:  0.37965367965368" 
##  [7] "Prediction error at end is:  0.370995670995671"
##  [8] "Prediction error at end is:  0.370995670995671"
##  [9] "Prediction error at end is:  0.361904761904762"
## [10] "Prediction error at end is:  0.370995670995671"
## [1] "10fold cv-error:  0.333333333333333"
## [1] "For predictors minic_ws11_hr_hr AND maxic_ws3_10m"
##      
## preds  1  2  3  4  5
##     1 44  0  3  2  1
##     2  0  0  0  0  0
##     3  0  0  0  0  0
##     4  7  1 15 31  4
##     5  0  0  0  0  0
## [1] "Kappa overall =  0.505"
## [1] "Tau overall =  0.618055555555555"
## [1] "mean quality =  0.257719298245614"
## [1] "The quality is  0.257719298245614"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.314814814814815"
## [1] "For predictors minic_ws11_hr_hr AND maxic_ws3_10m AND MaximalCurvature_10m AND maxic_ws3_hr_hr AND maxic_ws19_hr_hr AND Convexity_10m AND dtm_hr_CONVEX_r30 AND slope_ws3_10m AND Minimal_Curvature_50m AND planc_DTM_50m_avg_ws7_50m AND crosc_ws13_hr_hr AND minic_ws13_hr_hr AND minic_ws5_hr_hr AND ProfileCurvature_10m AND crosc_DTM_50m_avg_ws5_50m AND planc_ws3_hr_hr AND crosc_ws5_hr_hr AND maxic_ws5_10m AND minic_DTM_50m_avg_ws5_50m AND profc_ws3_10m AND longc_ws3_hr_hr AND minic_ws15_10m AND minic_ws9_hr_hr AND longc_ws15_10m AND Maximal_Curvature_hr AND Profile_Curvature_50m AND slope_ws15_hr_hr AND planc_ws5_hr_hr AND slope_DTM_50m_avg_ws7_50m AND crosc_ws15_hr_hr AND profc_ws5_hr_hr AND planc_DTM_50m_avg_ws11_50m AND longc_ws3_10m AND Slope_hr AND TangentialCurvature_10m AND minic_ws3_hr_hr AND minic_ws7_hr_hr AND slope_DTM_50m_avg_ws11_50m AND planc_DTM_50m_avg_ws9_50m AND longc_DTM_50m_avg_ws9_50m"
##      
## preds  1  2  3  4  5
##     1 46  0  1  1  1
##     2  0  0  0  0  0
##     3  0  0  6  0  0
##     4  5  1 11 32  4
##     5  0  0  0  0  0
## [1] "Kappa overall =  0.645320197044335"
## [1] "Tau overall =  0.722222222222222"
## [1] "mean quality =  0.355555555555556"
## [1] "The quality is  0.355555555555556"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1d.1 - Potential for retention of heavy metals"
##  [1] "Prediction error at end is:  0.425974025974026"
##  [2] "Prediction error at end is:  0.425541125541126"
##  [3] "Prediction error at end is:  0.388744588744589"
##  [4] "Prediction error at end is:  0.369264069264069"
##  [5] "Prediction error at end is:  0.379220779220779"
##  [6] "Prediction error at end is:  0.37012987012987" 
##  [7] "Prediction error at end is:  0.351515151515152"
##  [8] "Prediction error at end is:  0.37012987012987" 
##  [9] "Prediction error at end is:  0.37965367965368" 
## [10] "Prediction error at end is:  0.37012987012987" 
## [1] "10fold cv-error:  0.37962962962963"
## [1] "For predictors crosc_ws13_hr_hr AND slope_ws19_hr_hr"
##      
## preds  1  2  3  4  5
##     1 38  5  8  3 11
##     2  0  0  0  0  0
##     3  0  0  0  0  0
##     4  0  0  0  0  0
##     5  4  2  2  4 31
## [1] "Kappa overall =  0.409090909090909"
## [1] "Tau overall =  0.548611111111111"
## [1] "mean quality =  0.224959742351047"
## [1] "The quality is  0.224959742351047"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.342592592592593"
## [1] "For predictors crosc_ws13_hr_hr AND slope_ws19_hr_hr AND minic_ws11_10m AND maxic_ws3_10m AND planc_ws3_hr_hr AND minic_DTM_50m_avg_ws3_50m AND MaximalCurvature_10m AND slope_ws7_10m AND slope_DTM_50m_avg_ws3_50m AND maxic_ws11_hr_hr AND slope_ws11_10m AND dtm_hr_CONVEX_r30 AND longc_DTM_50m_avg_ws9_50m AND TotalCurvature_10m AND Total_Curvature_50m AND minic_ws23_hr_hr AND longc_DTM_50m_avg_ws5_50m AND maxic_ws5_hr_hr AND minic_ws9_hr_hr AND minic_ws5_hr_hr AND crosc_DTM_50m_avg_ws5_50m AND crosc_ws3_hr_hr AND maxic_ws3_hr_hr AND slope_DTM_50m_avg_ws5_50m AND maxic_ws15_hr_hr AND slope_ws5_10m AND maxic_ws23_hr_hr AND minic_ws29_hr_hr AND longc_ws9_hr_hr AND Convexity_10m AND General_Curvature_50m AND planc_DTM_50m_avg_ws11_50m AND Slope_10m AND longc_ws19_hr_hr AND Minimal_Curvature_50m AND profc_DTM_50m_avg_ws9_50m AND maxic_ws7_10m AND profc_DTM_50m_avg_ws5_50m AND slope_DTM_50m_avg_ws11_50m"
##      
## preds  1  2  3  4  5
##     1 41  4  7  3  5
##     2  0  1  0  0  0
##     3  0  0  2  0  0
##     4  0  0  0  2  0
##     5  1  2  1  2 37
## [1] "Kappa overall =  0.629984925311772"
## [1] "Tau overall =  0.710648148148148"
## [1] "mean quality =  0.414307181889149"
## [1] "The quality is  0.414307181889149"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  0.55548001516698"
## [1] "1d.2 - Potential for transforming organic contaminants"
##  [1] "Prediction error at end is:  0.683549783549784"
##  [2] "Prediction error at end is:  0.674891774891775"
##  [3] "Prediction error at end is:  0.627272727272727"
##  [4] "Prediction error at end is:  0.645887445887446"
##  [5] "Prediction error at end is:  0.646320346320346"
##  [6] "Prediction error at end is:  0.638528138528139"
##  [7] "Prediction error at end is:  0.638961038961039"
##  [8] "Prediction error at end is:  0.61991341991342" 
##  [9] "Prediction error at end is:  0.628138528138528"
## [10] "Prediction error at end is:  0.656277056277056"
## [1] "10fold cv-error:  0.555555555555556"
## [1] "For predictors slope_ws7_10m AND crosc_ws15_10m"
##      
## preds  1  2  3  4  5
##     1  0  0  0  0  0
##     2  0  0  0  0  0
##     3 10 18 22  2  9
##     4  0  0  0  3  1
##     5  0  4  6  4 29
## [1] "Kappa overall =  0.292490598083222"
## [1] "Tau overall =  0.375"
## [1] "mean quality =  0.235105604055196"
## [1] "The quality is  0.235105604055196"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.583333333333333"
## [1] "For predictors slope_ws7_10m AND crosc_ws15_10m AND planc_ws5_hr_hr AND Total_Curvature_50m AND minic_ws11_10m AND longc_ws3_hr_hr AND TangentialCurvature_10m AND Slope_hr AND Plan_Curvature_hr AND Convexity_10m AND MaximalCurvature_10m AND profc_DTM_50m_avg_ws7_50m AND planc_DTM_50m_avg_ws9_50m AND profc_DTM_50m_avg_ws5_50m AND maxic_DTM_50m_avg_ws7_50m AND longc_DTM_50m_avg_ws7_50m AND maxic_ws13_hr_hr AND Minimal_Curvature_50m AND minic_ws11_hr_hr AND profc_ws11_hr_hr AND longc_DTM_50m_avg_ws9_50m AND profc_DTM_50m_avg_ws9_50m AND dtm_hr_CONVEX_r30 AND slope_ws29_hr_hr AND dtm_hr_CONVEX_r20 AND maxic_DTM_50m_avg_ws5_50m AND Tangential_Curvature_50m AND minic_ws5_hr_hr AND slope_DTM_50m_avg_ws5_50m AND crosc_ws7_10m AND Slope_10m AND minic_ws19_hr_hr AND slope_DTM_50m_avg_ws7_50m AND Convexity_50m AND dtm_hr_CONVEX_r10 AND minic_DTM_50m_avg_ws3_50m AND crosc_ws11_10m AND slope_DTM_50m_avg_ws9_50m AND minic_ws3_hr_hr AND longc_ws15_hr_hr AND profc_ws3_10m AND Minimal_Curvature_hr AND CrossSectionalCurvature_hr AND planc_ws15_hr_hr"
##      
## preds  1  2  3  4  5
##     1  1  0  0  0  0
##     2  0  6  0  0  0
##     3  9 14 27  2  5
##     4  0  0  0  4  0
##     5  0  2  1  3 34
## [1] "Kappa overall =  0.533253301320528"
## [1] "Tau overall =  0.583333333333333"
## [1] "mean quality =  0.407648902821317"
## [1] "The quality is  0.407648902821317"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  0.583706053095214"
## [1] "1d.3 - Potential as filter and buffer for organic contaminants"
##  [1] "Prediction error at end is:  0.0372294372294372"
##  [2] "Prediction error at end is:  0.0372294372294372"
##  [3] "Prediction error at end is:  0.0372294372294372"
##  [4] "Prediction error at end is:  0.0372294372294372"
##  [5] "Prediction error at end is:  0.0372294372294372"
##  [6] "Prediction error at end is:  0.0372294372294372"
##  [7] "Prediction error at end is:  0.0372294372294372"
##  [8] "Prediction error at end is:  0.0372294372294372"
##  [9] "Prediction error at end is:  0.0372294372294372"
## [10] "Prediction error at end is:  0.0372294372294372"
## [1] "10fold cv-error:  0.0185185185185185"
## [1] "For predictors PlanCurvature_10m AND planc_ws11_hr_hr"
##      
## preds   4   5
##     4   2   0
##     5   2 104
## [1] "Kappa overall =  0.658227848101266"
## [1] "Tau overall =  0.962962962962963"
## [1] "mean quality =  0.740566037735849"
## [1] "The quality is  0.740566037735849"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  0.518568491248852"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.0370370370370371"
## [1] "For predictors PlanCurvature_10m AND planc_ws11_hr_hr AND planc_ws13_hr_hr AND planc_ws19_hr_hr AND Convexity_10m AND planc_ws9_hr_hr AND crosc_DTM_50m_avg_ws11_50m AND maxic_DTM_50m_avg_ws11_50m AND minic_DTM_50m_avg_ws11_50m AND profc_DTM_50m_avg_ws9_50m AND longc_ws7_10m AND profc_ws5_10m AND profc_ws7_10m AND LongitudinalCurvature_10m AND maxic_DTM_50m_avg_ws3_50m AND crosc_ws11_10m AND crosc_ws15_10m AND crosc_ws3_10m AND crosc_ws5_10m AND crosc_ws7_10m AND longc_ws11_10m AND longc_ws15_10m AND longc_ws3_10m AND longc_ws5_10m AND minic_ws15_10m AND minic_ws11_10m AND minic_ws7_10m AND slope_ws15_10m AND Tangential_Curvature_50m"
##      
## preds   4   5
##     4   0   0
##     5   4 104
## [1] "Kappa overall =  0"
## [1] "Tau overall =  0.925925925925926"
## [1] "mean quality =  0.481481481481482"
## [1] "The quality is  0.481481481481482"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  NaN"
## [1] "1d.4 - Potential for retention of water-soluble contaminants"
##  [1] "Prediction error at end is:  0.593073593073593"
##  [2] "Prediction error at end is:  0.556709956709957"
##  [3] "Prediction error at end is:  0.538095238095238"
##  [4] "Prediction error at end is:  0.547186147186147"
##  [5] "Prediction error at end is:  0.538095238095238"
##  [6] "Prediction error at end is:  0.51991341991342" 
##  [7] "Prediction error at end is:  0.510822510822511"
##  [8] "Prediction error at end is:  0.51991341991342" 
##  [9] "Prediction error at end is:  0.501298701298701"
## [10] "Prediction error at end is:  0.510822510822511"
## [1] "10fold cv-error:  0.472222222222222"
## [1] "For predictors minic_ws11_10m AND slope_ws5_hr_hr"
##      
## preds  1  2  3  4  5
##     1 43  8  7  9  3
##     2  0  0  0  0  0
##     3  0  0  4  0  0
##     4  4  6  6 13  2
##     5  0  0  0  0  3
## [1] "Kappa overall =  0.360526315789474"
## [1] "Tau overall =  0.479166666666667"
## [1] "mean quality =  0.303275039745628"
## [1] "The quality is  0.303275039745628"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.453703703703704"
## [1] "For predictors minic_ws11_10m AND slope_ws5_hr_hr AND Flow_Line_Curvature_50m AND Slope_10m AND Maximal_Curvature_hr AND LongitudinalCurvature_10m AND minic_DTM_50m_avg_ws3_50m AND General_Curvature_hr AND Total_Curvature_50m AND slope_ws5_10m AND maxic_ws29_hr_hr AND slope_ws3_hr_hr AND crosc_ws5_10m AND slope_DTM_50m_avg_ws5_50m AND Flow_Line_Curvature_hr AND minic_ws7_10m AND MaximalCurvature_10m AND General_Curvature_50m AND crosc_ws5_hr_hr AND crosc_ws15_hr_hr AND slope_ws15_10m AND profc_ws5_10m AND planc_ws5_hr_hr AND minic_DTM_50m_avg_ws5_50m AND Total_Curvature_hr AND maxic_ws11_10m AND maxic_DTM_50m_avg_ws11_50m AND slope_ws7_10m AND crosc_ws19_hr_hr AND minic_ws5_hr_hr AND slope_DTM_50m_avg_ws3_50m AND planc_DTM_50m_avg_ws11_50m AND planc_ws9_hr_hr AND longc_ws15_10m AND Slope_hr AND ProfileCurvature_10m AND slope_ws11_hr_hr AND maxic_ws5_10m AND longc_ws3_hr_hr"
##      
## preds  1  2  3  4  5
##     1 46  9  6  7  1
##     2  0  2  0  0  0
##     3  0  0  8  0  0
##     4  1  3  3 15  2
##     5  0  0  0  0  5
## [1] "Kappa overall =  0.550526726492392"
## [1] "Tau overall =  0.62962962962963"
## [1] "mean quality =  0.475891840607211"
## [1] "The quality is  0.475891840607211"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  0.619729938181675"
## [1] "1d.5 - Potential as buffer for acidic contaminants"
##  [1] "Prediction error at end is:  0.63030303030303" 
##  [2] "Prediction error at end is:  0.665800865800866"
##  [3] "Prediction error at end is:  0.657142857142857"
##  [4] "Prediction error at end is:  0.703463203463203"
##  [5] "Prediction error at end is:  0.694372294372294"
##  [6] "Prediction error at end is:  0.685714285714286"
##  [7] "Prediction error at end is:  0.666233766233766"
##  [8] "Prediction error at end is:  0.666666666666667"
##  [9] "Prediction error at end is:  0.675757575757576"
## [10] "Prediction error at end is:  0.674891774891775"
## [1] "10fold cv-error:  0.592592592592593"
## [1] "For predictors planc_ws11_10m AND slope_DTM_50m_avg_ws11_50m"
##      
## preds  1  2  3  4  5
##     1 39 11 16 12  7
##     2  0 13  2  1  0
##     3  0  0  2  0  1
##     4  0  0  0  3  1
##     5  0  0  0  0  0
## [1] "Kappa overall =  0.297538579262849"
## [1] "Tau overall =  0.409722222222222"
## [1] "mean quality =  0.242402738873327"
## [1] "The quality is  0.242402738873327"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect
## [1] "#########  Cramer's V =  NaN"
## [1] "###################### WITH  PREDICTORS from the FW SELECTION ###################"
## [1] "10fold cv-error:  0.537037037037037"
## [1] "For predictors planc_ws11_10m AND slope_DTM_50m_avg_ws11_50m AND minic_DTM_50m_avg_ws5_50m AND maxic_DTM_50m_avg_ws11_50m AND slope_ws7_10m AND planc_ws7_10m AND profc_ws19_hr_hr AND minic_ws7_hr_hr AND Convexity_10m AND crosc_DTM_50m_avg_ws5_50m AND Profile_Curvature_50m AND planc_ws29_hr_hr AND minic_ws23_hr_hr AND Convexity_50m AND maxic_DTM_50m_avg_ws7_50m AND dtm_hr_CONVEX_r10 AND planc_ws23_hr_hr AND minic_ws5_10m AND planc_ws3_hr_hr AND crosc_DTM_50m_avg_ws9_50m AND planc_ws5_10m AND slope_ws29_hr_hr AND profc_DTM_50m_avg_ws11_50m AND crosc_ws11_10m AND minic_ws3_hr_hr AND slope_DTM_50m_avg_ws3_50m AND planc_ws3_10m AND General_Curvature_50m AND Slope_hr AND profc_DTM_50m_avg_ws3_50m AND Minimal_Curvature_hr AND profc_ws29_hr_hr AND minic_ws15_hr_hr AND profc_ws5_10m AND maxic_DTM_50m_avg_ws5_50m AND crosc_DTM_50m_avg_ws7_50m AND longc_ws23_hr_hr AND minic_DTM_50m_avg_ws3_50m AND longc_ws15_10m AND Plan_Curvature_hr AND Convergence_Index_50m"
##      
## preds  1  2  3  4  5
##     1 38  7 11  3  3
##     2  1 17  0  1  0
##     3  0  0  9  0  2
##     4  0  0  0 12  0
##     5  0  0  0  0  4
## [1] "Kappa overall =  0.637497003116759"
## [1] "Tau overall =  0.675925925925926"
## [1] "mean quality =  0.572111222111222"
## [1] "The quality is  0.572111222111222"
## Warning in chisq.test(CM): Chi-squared approximation may be incorrect

## [1] "#########  Cramer's V =  0.706105756645892"